19.9.8.2 Matrix Factorization, General Issues

Chapter Contents (Back)
Matrix Factorization. Factorization.

Welling, M.[Max], Weber, M.[Markus],
Positive tensor factorization,
PRL(22), No. 12, October 2001, pp. 1255-1261.
Elsevier DOI 0108
BibRef

Sun, Z.H.[Zhao-Hui], Ramesh, V.[Visvanathan], Tekalp, A.M.[A. Murat],
Error Characterization of the Factorization Method,
CVIU(82), No. 2, May 2001, pp. 110-137.
DOI Link 0108
BibRef

Anandan, P., Irani, M.[Michal],
Factorization with Uncertainty,
IJCV(49), No. 2-3, September-October 2002, pp. 101-116.
DOI Link 0209
BibRef
Earlier: A2, A1: ECCV00(I: 539-553).
Springer DOI 0003
Award, ECCV. BibRef

Zelnik-Manor, L.[Lihi], Irani, M.[Michal],
On Single-Sequence and Multi-Sequence Factorizations,
IJCV(67), No. 3, May 2006, pp. 313-326.
Springer DOI 0606
BibRef
Earlier:
Temporal Factorization vs. Spatial Factorization,
ECCV04(Vol II: 434-445).
Springer DOI 0405
Rather than grouping the same motions, group the same shapes. Thus get the same expressions even if the head moves.
See also Multi-body Factorization with Uncertainty: Revisiting Motion Consistency. BibRef

Fanti, C.[Claudio], Zelnik-Manor, L.[Lihi], Perona, P.[Pietro],
Hybrid Models for Human Motion Recognition,
CVPR05(I: 1166-1173).
IEEE DOI 0507
BibRef

Zelnik-Manor, L.[Lihi], Machline, M.[Moshe], Irani, M.[Michal],
Multi-body Factorization with Uncertainty: Revisiting Motion Consistency,
IJCV(68), No. 1, June 2006, pp. 27-41.
Springer DOI 0605
Into regions of consistent motion. Temporal consistency of actions across multiple frames. BibRef

Aanæs, H.[Henrik], Fisker, R.[Rune], Åström, K.[Kalle], Carstensen, J.M.[Jens Michael],
Robust Factorization,
PAMI(24), No. 9, September 2002, pp. 1215-1225.
IEEE Abstract. 0209
How to deal with it when there is not a set of tracked features. Modification of the Christy-Horaud (
See also Euclidean Shape and Motion from Multiple Perspective Views by Affine Iterations. ) scheme. BibRef

Fiore, P.D.,
A constant modulus matrix factorization for direction finding and array calibration,
SPLetters(9), No. 9, September 2002, pp. 272-274.
IEEE Top Reference. 0211
BibRef

Wild, S.[Stefan], Curry, J.[James], Dougherty, A.[Anne],
Improving non-negative matrix factorizations through structured initialization,
PR(37), No. 11, November 2004, pp. 2217-2232.
Elsevier DOI 0409
BibRef

Klingenberg, B.[Bradley], Curry, J.[James], Dougherty, A.[Anne],
Non-negative matrix factorization: Ill-posedness and a geometric algorithm,
PR(42), No. 5, May 2009, pp. 918-928.
Elsevier DOI 0902
Non-negative matrix factorization, Geometry, Ill-posedness, Generative model, Component analysis BibRef

Corinthios, M.J.,
Generalised transform factorisation for massive parallelism,
VISP(151), No. 3, June 2004, pp. 153-163.
IEEE Abstract. 0409
BibRef

Pascual-Montano, A.[Alberto], Carazo, J.M., Kochi, K.[Kieko], Lehmann, D.[Dietrich], Pascual-Marqui, R.D.[Roberto D.],
Nonsmooth Nonnegative Matrix Factorization (nsNMF),
PAMI(28), No. 3, March 2006, pp. 403-415.
IEEE DOI 0602
optimization of an unambiguous cost function designed to explicitly represent sparseness. BibRef

Okatani, T.[Takayuki], Deguchi, K.[Koichiro],
On the Wiberg Algorithm for Matrix Factorization in the Presence of Missing Components,
IJCV(72), No. 3, May 2007, pp. 329-337.
Springer DOI 0702
BibRef

Okatani, T.[Takayuki], Yoshida, T.[Takahiro], Deguchi, K.[Koichiro],
Efficient algorithm for low-rank matrix factorization with missing components and performance comparison of latest algorithms,
ICCV11(842-849).
IEEE DOI 1201
BibRef

Kanatani, K.[Kenichi], Sugaya, Y.[Yasuyuki], Ackermann, H.[Hanno],
Uncalibrated Factorization Using a Variable Symmetric Affine Camera,
IEICE(E90-D), No. 5, May 2007, pp. 851-858.
DOI Link 0705
BibRef
Earlier: ECCV06(IV: 147-158).
Springer DOI 0608
BibRef

Ackermann, H.[Hanno], Kanatani, K.[Kenichi],
Iterative Low Complexity Factorization for Projective Reconstruction,
RobVis08(153-164).
Springer DOI 0802
BibRef

Boutsidis, C., Gallopoulos, E.,
SVD based initialization: A head start for nonnegative matrix factorization,
PR(41), No. 4, April 2008, pp. 1350-1362.
Elsevier DOI 0801
NMF, Sparse NMF, SVD, Nonnegative matrix factorization, Singular value decomposition, Perron-Frobenius, Low rank, Structured initialization, Sparse factorization BibRef

Cichocki, A.[Andrzej], Lee, H.Y.[Hyek-Young], Kim, Y.D.[Yong-Deok], Choi, S.J.[Seung-Jin],
Non-negative matrix factorization with alpha-divergence,
PRL(29), No. 9, 1 July 2008, pp. 1433-1440.
Elsevier DOI 0711
alpha-Divergence, Multiplicative updates, Non-negative matrix factorization, Projected gradient BibRef

Zhao, Q., Zhang, L., Cichocki, A.,
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination,
PAMI(37), No. 9, September 2015, pp. 1751-1763.
IEEE DOI 1508
Approximation methods BibRef

Lee, H.K.[Hye-Kyoung], Yoo, J.H.[Ji-Ho], Choi, S.J.[Seung-Jin],
Semi-Supervised Nonnegative Matrix Factorization,
SPLetters(17), No. 1, January 2010, pp. 4-7.
IEEE DOI 0911
BibRef

Khelifi, F., Jiang, J.,
Analysis of the Security of Perceptual Image Hashing Based on Non-Negative Matrix Factorization,
SPLetters(17), No. 1, January 2010, pp. 43-46.
IEEE DOI 0911
BibRef

Khelifi, F., Jiang, J.,
Perceptual Image Hashing Based on Virtual Watermark Detection,
IP(19), No. 4, April 2010, pp. 981-994.
IEEE DOI 1003
BibRef

Ding, C.H.Q.[Chris H.Q.], Li, T.[Tao], Jordan, M.I.[Michael I.],
Convex and Semi-Nonnegative Matrix Factorizations,
PAMI(32), No. 1, January 2010, pp. 45-55.
IEEE DOI 0912
Explore the different solutions. BibRef

Wahlberg, B., Stoica, P.,
New Square-Root Factorization of Inverse Toeplitz Matrices,
SPLetters(17), No. 2, February 2010, pp. 137-140.
IEEE DOI 0912
From the theory of rational orthonormal functions to derive square-root factorizations of inverse of nXn positive definite Toeplitz matrix. BibRef

Gillis, N.[Nicolas], Glineur, F.[Francois],
Using underapproximations for sparse nonnegative matrix factorization,
PR(43), No. 4, April 2010, pp. 1676-1687.
Elsevier DOI 1002
Nonnegative matrix factorization, Underapproximation, Maximum edge biclique problem, Sparsity, Image processing BibRef

Gillis, N., Vavasis, S.A.,
Fast and Robust Recursive Algorithms for Separable Nonnegative Matrix Factorization,
PAMI(36), No. 4, April 2014, pp. 698-714.
IEEE DOI 1404
Algorithm design and analysis BibRef

Gillis, N.,
Successive Nonnegative Projection Algorithm for Robust Nonnegative Blind Source Separation,
SIIMS(7), No. 2, 2014, pp. 1420-1450.
DOI Link 1407
BibRef

Li, Z.[Zhao], Wu, X.D.[Xin-Dong], Peng, H.[Hong],
Nonnegative Matrix Factorization on Orthogonal Subspace,
PRL(31), No. 9, 1 July 2010, pp. 905-911.
Elsevier DOI 1004
Nonnegative Matrix Factorization, Orthogonality, Clustering BibRef

Zhao, K.[Keke], Zhang, Z.Y.[Zhen-Yue],
Successively alternate least square for low-rank matrix factorization with bounded missing data,
CVIU(114), No. 10, October 2010, pp. 1084-1096.
Elsevier DOI 1003
Matrix complement, Matrix factorization, Missing data, Low-rank matrix, 3D reconstruction BibRef

Zhang, Z.Y.[Zhen-Yue], Zhao, K.[Keke],
Low-Rank Matrix Approximation with Manifold Regularization,
PAMI(35), No. 7, 2013, pp. 1717-1729.
IEEE DOI 1307
graph theory, matrix decomposition; Symmetric matrices, manifold learning BibRef

Yang, L.[Lei], Hao, P.W.[Peng-Wei], Wu, D.P.[Da-Peng],
Stabilization and optimization of PLUS factorization and its application in image coding,
JVCIR(22), No. 1, January 2011, pp. 9-22.
Elsevier DOI 1101
PLUS factorization, Stable algorithm, Optimization, Transform coding; Image compression, Integer reversible transform, Lapped Transform; Discrete cosine transform, Lifting factorization BibRef

Decherchi, S.[Sergio], Gastaldo, P.[Paolo], Zunino, R.[Rodolfo],
Efficient approximate Regularized Least Squares by Toeplitz matrix,
PRL(32), No. 3, 1 February 2011, pp. 468-475.
Elsevier DOI 1101
Regularized Least Squares, Toeplitz matrix, Levinson-Trench-Zohar algorithm, Digital signal processor, Large-scale learning, Resources limited device BibRef

Sandler, R.[Roman], Lindenbaum, M.[Michael],
Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis,
PAMI(33), No. 8, August 2011, pp. 1590-1602.
IEEE DOI 1107
BibRef
Earlier:
Nonnegative Matrix Factorization with Earth Mover's Distance metric,
CVPR09(1873-1880).
IEEE DOI 0906
BibRef

Guan, N.Y.[Nai-Yang], Tao, D.C.[Da-Cheng], Luo, Z.G.[Zhi-Gang], Yuan, B.[Bo],
Manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent,
IP(20), No. 7, July 2011, pp. 2030-2048.
IEEE DOI 1107
BibRef

Ambai, M.[Mitsuru], Utama, N.P.[Nugraha P.], Yoshida, Y.[Yuichi],
Dimensionality Reduction for Histogram Features Based on Supervised Non-negative Matrix Factorization,
IEICE(E94-D), No. 10, October 2011, pp. 1870-1879.
WWW Link. 1110
BibRef

Pan, J.Y.[Ji-Yuan], Zhang, J.S.[Jiang-She],
Large margin based nonnegative matrix factorization and partial least squares regression for face recognition,
PRL(32), No. 14, 15 October 2011, pp. 1822-1835.
Elsevier DOI 1110
Face recognition, Nonnegative matrix factorization, Out-of-sample; Feature extraction, Large margin learning BibRef

Yokoya, N., Yairi, T., Iwasaki, A.,
Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion,
GeoRS(50), No. 2, February 2012, pp. 528-537.
IEEE DOI 1201
BibRef

Yokoya, N., Chanussot, J., Iwasaki, A.,
Nonlinear Unmixing of Hyperspectral Data Using Semi-Nonnegative Matrix Factorization,
GeoRS(52), No. 2, February 2014, pp. 1430-1437.
IEEE DOI 1402
geophysical image processing BibRef

Shang, F.H.[Fan-Hua], Jiao, L.C., Wang, F.[Fei],
Graph dual regularization non-negative matrix factorization for co-clustering,
PR(45), No. 6, June 2012, pp. 2237-2250.
Elsevier DOI 1202
Low-rank matrix factorization, Non-negative matrix factorization (NMF), Graph Laplacian, Graph dual regularization, Co-clustering BibRef

Zheng, W.S.[Wei-Shi], Lai, J.[JianHuang], Liao, S.C.[Sheng-Cai], He, R.[Ran],
Extracting non-negative basis images using pixel dispersion penalty,
PR(45), No. 8, August 2012, pp. 2912-2926.
Elsevier DOI 1204
Non-negative matrix factorization (NMF), Non-negativity constraint; Spatially localized basis images, Feature extraction, Face image analysis BibRef

Liu, H.F.[Hai-Feng], Wu, Z.H.[Zhao-Hui], Cai, D.[Deng], Huang, T.S.[Thomas S.],
Constrained Nonnegative Matrix Factorization for Image Representation,
PAMI(34), No. 7, July 2012, pp. 1299-1311.
IEEE DOI 1205
Nonnegative matrix factorization, semi-supervised learning, dimension reduction, clustering. BibRef

Liu, H.F.[Hai-Feng], Yang, G., Wu, Z.H.[Zhao-Hui], Cai, D.[Deng],
Constrained Concept Factorization for Image Representation,
Cyber(44), No. 7, July 2014, pp. 1214-1224.
IEEE DOI 1407
Algorithm design and analysis BibRef

Kumar, B.G.V.[B.G. Vijay], Kotsia, I.[Irene], Patras, I.[Ioannis],
Max-margin Non-negative Matrix Factorization,
IVC(30), No. 4-5, May 2012, pp. 279-291.
Elsevier DOI 1206
Non-negative Matrix Factorization, Supervised feature extraction; Semi-NMF, Max-margin classifier BibRef

Gong, P.[Pinghua], Zhang, C.S.[Chang-Shui],
Efficient Nonnegative Matrix Factorization via projected Newton method,
PR(45), No. 9, September 2012, pp. 3557-3565.
Elsevier DOI 1206
Nonnegative Matrix Factorization, Projected Newton method, Quadratic convergence rate, Nonnegative least squares, Low rank BibRef

Esser, E., Moller, M., Osher, S., Sapiro, G., Xin, J.,
A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space,
IP(21), No. 7, July 2012, pp. 3239-3252.
IEEE DOI 1206
BibRef

Shi, M.[Min], Yi, Q.M.[Qing-Ming], Lv, J.[Jun],
Symmetric Nonnegative Matrix Factorization With Beta-Divergences,
SPLetters(19), No. 8, August 2012, pp. 539-542.
IEEE DOI 1208
BibRef

Liu, Y.Y.[Yuan-Yuan], Jiao, L.C., Shang, F.H.[Fan-Hua],
An efficient matrix factorization based low-rank representation for subspace clustering,
PR(46), No. 1, January 2013, pp. 284-292.
Elsevier DOI 1209
Nuclear norm minimization (NNM), Low rank representation, Alternating direction method (ADM), Matrix tri-factorization, Positive semidefinite (PSD) BibRef

Liu, Y.Y.[Yuan-Yuan], Jiao, L.C., Shang, F.H.[Fan-Hua],
A fast tri-factorization method for low-rank matrix recovery and completion,
PR(46), No. 1, January 2013, pp. 163-173.
Elsevier DOI 1209
Rank minimization, Nuclear norm minimization, Matrix completion; Low-rank and sparse decomposition, Low rank representation BibRef

Liu, Y.G.[Yi-Guang], Liu, B.B.[Bing-Bing], Pu, Y.F.[Yi-Fei], Chen, X.H.[Xiao-Hui], Cheng, H.[Hong],
Low-rank matrix decomposition in L1-norm by dynamic systems,
IVC(30), No. 11, November 2012, pp. 915-921.
Elsevier DOI 1211
Low-rank matrix approximation, Dynamic system, L_1 norm, Computational efficiency BibRef

Liu, Y.G.[Yi-Guang], Cao, L.P.[Li-Ping], Liu, C.L.[Chun-Ling], Pu, Y.F.[Yi-Fei], Cheng, H.[Hong],
Recovering shape and motion by a dynamic system for low-rank matrix approximation in L_1 norm,
VC(29), No. 5, May 2013, pp. 421-431.
WWW Link. 1305
BibRef

Essid, S., Fevotte, C.,
Smooth Nonnegative Matrix Factorization for Unsupervised Audiovisual Document Structuring,
MultMed(15), No. 2, 2013, pp. 415-425.
IEEE DOI 1302
BibRef

Tan, V.Y.F., Fevotte, C.,
Automatic Relevance Determination in Nonnegative Matrix Factorization with the beta-Divergence,
PAMI(35), No. 7, 2013, pp. 1592-1605.
IEEE DOI 1307
matrix decomposition, latent dimensionality; maximum a posteriori estimation; nonnegative matrix factorization BibRef

Wang, S.,
Quasi-Block-Cholesky Factorization With Dynamic Matrix Compression for Fast Integral-Equation Simulations of Large-Scale Human Body Models,
PIEEE(100), No. 2, February 2013, pp. 389-400.
IEEE DOI 1302
BibRef

Kim, Y.D.[Yong-Deok], Choi, S.J.[Seung-Jin],
Variational Bayesian View of Weighted Trace Norm Regularization for Matrix Factorization,
SPLetters(20), No. 3, March 2013, pp. 261-264.
IEEE DOI 1303
BibRef

Kim, J.H.[Jae-Hean], Koo, B.K.[Bon-Ki],
Factorization of canonic homographies for camera calibration and scene modeling,
FCV13(5-10).
IEEE DOI 1304
BibRef

Wang, J.J.Y.[Jim Jing-Yan], Bensmail, H.[Halima], Gao, X.[Xin],
Multiple graph regularized nonnegative matrix factorization,
PR(46), No. 10, October 2013, pp. 2840-2847.
Elsevier DOI 1306
Data representation, Nonnegative matrix factorization, Graph Laplacian, Ensemble manifold regularization BibRef

Wang, J.Y.[Jing-Yan], Almasri, I.[Islam], Gao, X.[Xin],
Adaptive graph regularized Nonnegative Matrix Factorization via feature selection,
ICPR12(963-966).
WWW Link. 1302
BibRef

Li, Z.C.[Ze-Chao], Liu, J.[Jing], Lu, H.Q.[Han-Qing],
Structure preserving non-negative matrix factorization for dimensionality reduction,
CVIU(117), No. 9, 2013, pp. 1175-1189.
Elsevier DOI 1307
Dimensionality reduction BibRef

Wang, L.[Lu], Albera, L., Kachenoura, A., Shu, H.Z.[Hua-Zhong], Senhadji, L.,
Nonnegative Joint Diagonalization by Congruence Based on LU Matrix Factorization,
SPLetters(20), No. 8, 2013, pp. 807-810.
IEEE DOI 1307
NMR spectroscopy BibRef

Li, J.[Jun], Tao, D.C.[Da-Cheng],
A Bayesian Hierarchical Factorization Model for Vector Fields,
IP(22), No. 11, 2013, pp. 4510-4521.
IEEE DOI 1310
Bayes methods BibRef

Wu, S.Y.[Shu-Yi], Zhang, X.[Xiang], Guan, N.Y.[Nai-Yang], Tao, D.C.[Da-Cheng], Huang, X.H.[Xu-Hui], Luo, Z.G.[Zhi-Gang],
Non-negative Low-Rank and Group-Sparse Matrix Factorization,
MMMod15(II: 536-547).
Springer DOI 1501
BibRef

Xu, Y., Yin, W.,
A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion,
SIIMS(6), No. 3, 2013, pp. 1758-1789.
DOI Link 1310
BibRef

Hu, L.[Lirui], Dai, L.[Liang], Wu, J.G.[Jian-Guo],
Convergent Projective Non-negative Matrix Factorization with Kullback-Leibler Divergence,
PRL(36), No. 1, 2014, pp. 15-21.
Elsevier DOI 1312
Projective Non-negative Matrix Factorization BibRef

Hu, L.[Lirui], Wu, N.[Ning], Li, X.[Xiao],
Feature Nonlinear Transformation Non-Negative Matrix Factorization with Kullback-Leibler Divergence,
PR(132), 2022, pp. 108906.
Elsevier DOI 2209
Non-negative matrix factorization, Nonlinear transformation, Feature extraction, Object recognition, Clustering, Kullback-Leibler divergence BibRef

Ye, J.[Jun], Jin, Z.[Zhong],
Non-negative matrix factorisation based on fuzzy K nearest neighbour graph and its applications,
IET-CV(7), No. 5, October 2013, pp. 346-353.
DOI Link 1402
face recognition BibRef

Zou, W.B.[Wen-Bin], Bai, C.[Cong], Kpalma, K., Ronsin, J.,
Online Glocal Transfer for Automatic Figure-Ground Segmentation,
IP(23), No. 5, May 2014, pp. 2109-2121.
IEEE DOI 1405
Markov processes BibRef

Zou, W.B.[Wen-Bin], Kpalma, K.[Kidiyo], Liu, Z.[Zhi], Ronsin, J.[Joseph],
Segmentation Driven Low-rank Matrix Recovery for Saliency Detection,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Zhou, G.X.[Guo-Xu], Cichocki, A., Zhao, Q.B.[Qi-Bin], Xie, S.L.[Sheng-Li],
Nonnegative Matrix and Tensor Factorizations: An algorithmic perspective,
SPMag(31), No. 3, May 2014, pp. 54-65.
IEEE DOI 1405
Approximation methods BibRef

Zhou, G.X.[Guo-Xu], Cichocki, A., Zhao, Q.B.[Qi-Bin], Xie, S.L.[Sheng-Li],
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness,
IP(24), No. 12, December 2015, pp. 4990-5003.
IEEE DOI 1512
approximation theory BibRef

Huang, K., Sidiropoulos, N.,
Putting Nonnegative Matrix Factorization to the Test: A tutorial derivation of pertinent Cramer-Rao bounds and performance benchmarking,
SPMag(31), No. 3, May 2014, pp. 76-86.
IEEE DOI 1405
Cramer-Rao bounds BibRef

Feng, J.Z.[Jian-Zhou], Huo, X.M.[Xiao-Ming], Song, L.[Li], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun],
Evaluation of Different Algorithms of Nonnegative Matrix Factorization in Temporal Psychovisual Modulation,
CirSysVideo(24), No. 4, April 2014, pp. 553-565.
IEEE DOI 1405
least squares approximations BibRef

Li, Z.C.[Ze-Chao], Liu, J.[Jing], Tang, J.H.[Jin-Hui], Lu, H.Q.[Han-Qing],
Projective Matrix Factorization with unified embedding for social image tagging,
CVIU(124), No. 1, 2014, pp. 71-78.
Elsevier DOI 1406
Projective Matrix Factorization BibRef

Li, Z.C.[Ze-Chao], Tang, J.H.[Jin-Hui],
Weakly Supervised Deep Matrix Factorization for Social Image Understanding,
IP(26), No. 1, January 2017, pp. 276-288.
IEEE DOI 1612
gradient methods BibRef

Gonen, M., Kaski, S.,
Kernelized Bayesian Matrix Factorization,
PAMI(36), No. 10, October 2014, pp. 2047-2060.
IEEE DOI 1410
approximation theory BibRef

Yang, Z.R.[Zhi-Rong], Oja, E.[Erkki],
Quadratic nonnegative matrix factorization,
PR(45), No. 4, 2012, pp. 1500-1510.
Elsevier DOI 1410
Nonnegative matrix factorization BibRef

Szabó, Z.[Zoltán], Póczos, B.[Barnabás], Lorincz, A.[András],
Separation theorem for independent subspace analysis and its consequences,
PR(45), No. 4, 2012, pp. 1782-1791.
Elsevier DOI 1410
BibRef
And:
Online group-structured dictionary learning,
CVPR11(2865-2872).
IEEE DOI 1106
Separation principles. Implement for the online, structured, sparse non-negative matrix factorization. BibRef

Liu, X.B.[Xiao-Bai], Xu, Q.[Qian], Yan, S.C.[Shui-Cheng], Wang, G.[Gang], Jin, H.[Hai], Lee, S.W.[Seong-Whan],
Nonnegative Tensor Cofactorization and Its Unified Solution,
IP(23), No. 9, September 2014, pp. 3950-3961.
IEEE DOI 1410
convergence BibRef

Chen, Q.A.[Qi-Ang], Yan, S.C.[Shui-Cheng], Ng, T.T.[Tian-Tsong],
Factorization towards a classifier,
CVPR10(3562-3569).
IEEE DOI 1006
BibRef

Liao, S.C.[Sheng-Cai], Lei, Z.[Zhen], Li, S.Z.[Stan Z.],
Nonnegative Matrix Factorization with Gibbs Random Field modeling,
Subspace09(79-86).
IEEE DOI 0910
BibRef

Li, B.[Bo], Zhou, G.X.[Guo-Xu], Cichocki, A.,
Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization,
SPLetters(22), No. 7, July 2015, pp. 843-846.
IEEE DOI 1412
gradient methods BibRef

Jin, T.S.[Tai-Song], Yu, J.[Jun], You, J.[Jane], Zeng, K.[Kun], Li, C.H.[Cui-Hua], Yu, Z.T.[Zheng-Tao],
Low-rank matrix factorization with multiple Hypergraph regularizer,
PR(48), No. 3, 2015, pp. 1011-1022.
Elsevier DOI 1412
Hypergraph BibRef

Rapin, J.[Jérémy], Bobin, J.[Jérôme], Larue, A.[Anthony], Starck, J.L.[Jean-Luc],
NMF with Sparse Regularizations in Transformed Domains,
SIIMS(7), No. 4, 2014, pp. 2020-2047.
DOI Link 1412
BibRef
And: A2, A4, A1, A3:
Sparse blind source separation for partially correlated sources,
ICIP14(6021-6025)
IEEE DOI 1502
Nonnegative matrix factorization. Algorithm design and analysis BibRef

Sun, M.[Meng], Zhang, X.W.[Xiong-Wei], van Hamme, H.[Hugo],
A stable approach for model order selection in nonnegative matrix factorization,
PRL(54), No. 1, 2015, pp. 97-102.
Elsevier DOI 1502
Model order selection BibRef

Mirzaei, S.[Sayeh], van Hamme, H.[Hugo], Khosravani, S.[Shima],
Hyperspectral image classification using Non-negative Tensor Factorization and 3D Convolutional Neural Networks,
SP:IC(76), 2019, pp. 178-185.
Elsevier DOI 1906
Hyperspectral image classification, Non-negative Tensor Factorization (NTF), Convolutional Neural Network (CNN) BibRef

Han, H.[Hong], Liu, S.J.[San-Jun], Gan, L.[Lu],
Non-negativity and dependence constrained sparse coding for image classification,
JVCIR(26), No. 1, 2015, pp. 247-254.
Elsevier DOI 1502
Non-negative Matrix Factorization BibRef

Ye, M.C.[Min-Chao], Qian, Y.T.[Yun-Tao], Zhou, J.[Jun],
Multitask Sparse Nonnegative Matrix Factorization for Joint Spectral-Spatial Hyperspectral Imagery Denoising,
GeoRS(53), No. 5, May 2015, pp. 2621-2639.
IEEE DOI 1502
geophysical image processing BibRef

Xiong, F.C.[Feng-Chao], Qian, Y.T.[Yun-Tao], Zhou, J.[Jun], Tang, Y.Y.[Yuan Yan],
Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization,
GeoRS(57), No. 4, April 2019, pp. 2341-2357.
IEEE DOI 1904
BibRef
Earlier: A1, A3, A2, Only:
Hyperspectral Imagery Denoising via Reweighed Sparse Low-Rank Nonnegative Tensor Factorization,
ICIP18(3219-3223)
IEEE DOI 1809
hyperspectral imaging, matrix decomposition, tensors, hyperspectral unmixing, local spatial information, total variation (TV). Noise reduction, Tensile stress, Sparse matrices, Image restoration, Hyperspectral imaging, Image coding, low-rank representation BibRef

Xiong, F.C.[Feng-Chao], Zhou, J.[Jun], Qian, Y.T.[Yun-Tao],
Hyperspectral Restoration via L_0 Gradient Regularized Low-Rank Tensor Factorization,
GeoRS(57), No. 12, December 2019, pp. 10410-10425.
IEEE DOI 1912
Noise reduction, Image restoration, Hyperspectral imaging, Matrix decomposition, Correlation, Sparse matrices, spectral-spatial information BibRef

Xu, F.[Fan], Bai, X.[Xiao], Zhou, J.[Jun],
Non-local similarity based tensor decomposition for hyperspectral image denoising,
ICIP17(1890-1894)
IEEE DOI 1803
Hyperspectral imaging, Image denoising, Noise reduction, Tensile stress, Tensor Decomposition BibRef

Ma, Z., Teschendorff, A.E., Leijon, A., Qiao, Y., Zhang, H., Guo, J.,
Variational Bayesian Matrix Factorization for Bounded Support Data,
PAMI(37), No. 4, April 2015, pp. 876-889.
IEEE DOI 1503
Approximation methods BibRef

Jiang, F.Y.[Fang-Yuan], Enqvist, O.[Olof], Kahl, F.[Fredrik],
A Combinatorial Approach to L1 -Matrix Factorization,
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PRL(63), No. 1, 2015, pp. 71-77.
Elsevier DOI 1508
NMF BibRef

Liu, Y., Lei, Y., Li, C., Xu, W., Pu, Y.,
A Random Algorithm for Low-Rank Decomposition of Large-Scale Matrices With Missing Entries,
IP(24), No. 11, November 2015, pp. 4502-4511.
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Wu, Y.W.[Yu-Wei], Jia, Y.D.[Yun-De], Li, P.H.[Pei-Hua], Zhang, J.[Jian], Yuan, J.S.[Jun-Song],
Manifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications,
IP(24), No. 11, November 2015, pp. 3729-3741.
IEEE DOI 1509
graph theory BibRef

El Aziz, M.A.[Mohamed Abd], Khidr, W.[Wael],
Nonnegative matrix factorization based on projected hybrid conjugate gradient algorithm,
SIViP(9), No. 8, November 2015, pp. 1825-1831.
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Rad, R.[Roya], Jamzad, M.[Mansour],
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IET-CV(9), No. 6, 2015, pp. 806-813.
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image classification BibRef

Rad, R.[Roya], Jamzad, M.[Mansour],
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JVCIR(46), No. 1, 2017, pp. 1-12.
Elsevier DOI 1706
Automatic, image, annotation BibRef

Simsekli, U., Liutkus, A., Cemgil, A.T.,
Alpha-Stable Matrix Factorization,
SPLetters(22), No. 12, December 2015, pp. 2289-2293.
IEEE DOI 1512
Markov processes BibRef

Yang, L.[Liu], Jing, L.P.[Li-Ping], Ng, M.K.,
Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning,
IP(24), No. 12, December 2015, pp. 4701-4714.
IEEE DOI 1512
convergence of numerical methods BibRef

Wang, D., Gao, X., Wang, X.,
Semi-Supervised Nonnegative Matrix Factorization via Constraint Propagation,
Cyber(46), No. 1, January 2016, pp. 233-244.
IEEE DOI 1601
Approximation methods BibRef

Fu, X.[Xiao], Ma, W.K.[Wing-Kin],
Robustness Analysis of Structured Matrix Factorization via Self-Dictionary Mixed-Norm Optimization,
SPLetters(23), No. 1, January 2016, pp. 60-64.
IEEE DOI 1601
matrix decomposition BibRef

Mao, J.Y.[Jia-Yun], Zhang, Z.Y.[Zhen-Yue],
A local convex method for rank-sparsity factorization,
PRL(71), No. 1, 2016, pp. 31-37.
Elsevier DOI 1602
Low-rank matrices BibRef

Li, X.[Xue], Shen, B.[Bin], Liu, B.D.[Bao-Di], Zhang, Y.J.[Yu-Jin],
A Locality Sensitive Low-Rank Model for Image Tag Completion,
MultMed(18), No. 3, March 2016, pp. 474-483.
IEEE DOI 1603
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Earlier: A1, A4, A2, A3:
Image tag completion by low-rank factorization with dual reconstruction structure preserved,
ICIP14(3062-3066)
IEEE DOI 1502
Computational modeling. Encoding BibRef

Li, X.[Xue], Shen, B.[Bin], Liu, B.D.[Bao-Di], Zhang, Y.J.[Yu-Jin],
Ranking-Preserving Low-Rank Factorization for Image Annotation With Missing Labels,
MultMed(20), No. 5, May 2018, pp. 1169-1178.
IEEE DOI 1805
Correlation, Matrix decomposition, Predictive models, Sparse matrices, Training, Visualization, tag ranking BibRef

Shen, B.[Bin], Liu, B.D.[Bao-Di], Wang, Q.F.[Qi-Fan], Ji, R.R.[Rong-Rong],
Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules,
ICIP14(5282-5286)
IEEE DOI 1502
Additive noise BibRef

Lu, G.F., Wang, Y., Zou, J.,
Low-Rank Matrix Factorization With Adaptive Graph Regularizer,
IP(25), No. 5, May 2016, pp. 2196-2205.
IEEE DOI 1604
data structures BibRef

Arjona Ramírez, M.,
Non-Negative Temporal Decomposition Regularization With an Augmented Lagrangian,
SPLetters(23), No. 5, May 2016, pp. 663-667.
IEEE DOI 1604
Cost function BibRef

Zhu, F., Honeine, P.,
Biobjective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models,
GeoRS(54), No. 7, July 2016, pp. 4012-4022.
IEEE DOI 1606
Biological system modeling BibRef

Tang, J., Wang, K., Shao, L.,
Supervised Matrix Factorization Hashing for Cross-Modal Retrieval,
IP(25), No. 7, July 2016, pp. 3157-3166.
IEEE DOI 1606
computational complexity BibRef

Zhu, M., Miao, H., Tang, J.,
Multi-Kernel Supervised Hashing with Graph Regularization for Cross-Modal Retrieval,
ICPR18(2717-2722)
IEEE DOI 1812
Kernel, Semantics, Optimization, Linear programming, Correlation, Signal processing BibRef

Shokrollahi, M.[Mehrnaz], Krishnan, S.[Sridhar],
Non-stationary signal feature characterization using adaptive dictionaries and non-negative matrix factorization,
SIViP(10), No. 6, June 2016, pp. 1025-1032.
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Babaee, M.[Mohammadreza], Wolf, T.[Thomas], Rigoll, G.[Gerhard],
Toward semantic attributes in dictionary learning and non-negative matrix factorization,
PRL(80), No. 1, 2016, pp. 172-178.
Elsevier DOI 1609
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Relative attribute guided dictionary learning,
ICIP16(704-708)
IEEE DOI 1610
Clustering algorithms Dictionary BibRef

Babaee, M.[Mohammadreza], Bahmanyar, R.[Reza], Rigoll, G.[Gerhard], Datcu, M.[Mihai],
Farness preserving Non-negative matrix factorization,
ICIP14(3023-3027)
IEEE DOI 1502
Accuracy BibRef

Cao, X., Zhao, Q., Meng, D., Chen, Y., Xu, Z.,
Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions,
IP(25), No. 10, October 2016, pp. 4677-4690.
IEEE DOI 1610
Gaussian distribution BibRef

Cao, X., Chen, Y., Zhao, Q., Meng, D., Wang, Y., Wang, D., Xu, Z.,
Low-Rank Matrix Factorization under General Mixture Noise Distributions,
ICCV15(1493-1501)
IEEE DOI 1602
Adaptation models BibRef

Ding, G.G.[Gui-Guang], Guo, Y.C.[Yu-Chen], Zhou, J.[Jile], Gao, Y.,
Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing,
IP(25), No. 11, November 2016, pp. 5427-5440.
IEEE DOI 1610
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Earlier: A1, A2, A3, Only:
Collective Matrix Factorization Hashing for Multimodal Data,
CVPR14(2083-2090)
IEEE DOI 1409
Algorithm design and analysis BibRef

Zhang, G., Gong, X.,
Nonnegative Matrix Cofactorization for Weakly Supervised Image Parsing,
SPLetters(23), No. 11, November 2016, pp. 1682-1686.
IEEE DOI 1609
image segmentation BibRef

Trigeorgis, G.[George], Bousmalis, K.[Konstantinos], Zafeiriou, S.P.[Stefanos P.], Schuller, B.W.[Björn W.],
A Deep Matrix Factorization Method for Learning Attribute Representations,
PAMI(39), No. 3, March 2017, pp. 417-429.
IEEE DOI 1702
Algorithm design and analysis
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Kumar, V.[Vikas], Pujari, A.K.[Arun K.], Sahu, S.K.[Sandeep Kumar], Kagita, V.R.[Venkateswara Rao], Padmanabhan, V.[Vineet],
Proximal maximum margin matrix factorization for collaborative filtering,
PRL(86), No. 1, 2017, pp. 62-67.
Elsevier DOI 1702
Collaborative filtering BibRef

Karoui, M.S., Deville, Y., Benhalouche, F.Z., Boukerch, I.,
Hypersharpening by Joint-Criterion Nonnegative Matrix Factorization,
GeoRS(55), No. 3, March 2017, pp. 1660-1670.
IEEE DOI 1703
Algorithm design and analysis BibRef

Hou, J., Chau, L.P., Magnenat-Thalmann, N., He, Y.,
Sparse Low-Rank Matrix Approximation for Data Compression,
CirSysVideo(27), No. 5, May 2017, pp. 1043-1054.
IEEE DOI 1705
Approximation error, Coherence, Data compression, Matrix decomposition, Sparse matrices, Transforms, Data compression, low-rank matrix, optimization, orthogonal transform, sparsity BibRef

Debals, O., van Barel, M., de Lathauwer, L.,
Nonnegative Matrix Factorization Using Nonnegative Polynomial Approximations,
SPLetters(24), No. 7, July 2017, pp. 948-952.
IEEE DOI 1706
Approximation algorithms, Convergence, Optimization, Signal processing algorithms, Standards, TV, Nonnegative matrix factorization (NMF), nonnegative polynomials, polynomial, approximation BibRef

Ma, X.K.[Xiao-Ke], Sun, P.G.[Peng-Gang], Qin, G.M.[Gui-Min],
Nonnegative matrix factorization algorithms for link prediction in temporal networks using graph communicability,
PR(71), No. 1, 2017, pp. 361-374.
Elsevier DOI 1707
Dynamic, networks BibRef

Lu, Y., Yuan, C., Lai, Z., Li, X., Wong, W.K., Zhang, D.,
Nuclear Norm-Based 2DLPP for Image Classification,
MultMed(19), No. 11, November 2017, pp. 2391-2403.
IEEE DOI 1710
Two-dimensional locality preserving projections. Face recognition, Feature extraction, Image reconstruction, Manifolds, Principal component analysis, Robustness, BibRef

Lu, Y.[Yuwu], Lai, Z.H.[Zhi-Hui], Li, X.L.[Xue-Long], Zhang, D.[David], Wong, W.K.[Wai Keung], Yuan, C.[Chun],
Learning Parts-Based and Global Representation for Image Classification,
CirSysVideo(28), No. 12, December 2018, pp. 3345-3360.
IEEE DOI 1812
Robustness, Sparse matrices, Matrix decomposition, Image classification, Manifolds, Euclidean distance, Geometry, image classification BibRef

Yuan, Y., Li, X.L., Pang, Y., Lu, X., Tao, D.,
Binary Sparse Nonnegative Matrix Factorization,
CirSysVideo(19), No. 5, May 2009, pp. 772-777.
IEEE DOI 0906
BibRef

Lu, Y.W.[Yu-Wu], Yuan, C.[Chun], Zhu, W.W.[Wen-Wu], Li, X.L.[Xue-Long],
Structurally Incoherent Low-Rank Nonnegative Matrix Factorization for Image Classification,
IP(27), No. 11, November 2018, pp. 5248-5260.
IEEE DOI 1809
image classification, learning (artificial intelligence), matrix decomposition, visual databases, image classification, BibRef

Lu, Y., Yuan, C., Li, X., Lai, Z., Zhang, D., Shen, L.,
Structurally Incoherent Low-Rank 2DLPP for Image Classification,
CirSysVideo(29), No. 6, June 2019, pp. 1701-1714.
IEEE DOI 1906
Feature extraction, Image classification, Robustness, Kernel, structurally incoherent BibRef

Lu, Y., Lai, Z., Xu, Y., Li, X., Zhang, D., Yuan, C.,
Nonnegative Discriminant Matrix Factorization,
CirSysVideo(27), No. 7, July 2017, pp. 1392-1405.
IEEE DOI 1707
Convergence, Euclidean distance, Image classification, Image reconstruction, Linear programming, Matrix decomposition, Principal component analysis, Discriminative ability, face recognition, maximum margin criterion (MMC), nonnegative, matrix, factorization, (NMF) BibRef

Zhu, X.X.[Xiang-Xiang], Zhang, Z.S.[Zhuo-Sheng],
Improved self-paced learning framework for nonnegative matrix factorization,
PRL(97), No. 1, 2017, pp. 1-7.
Elsevier DOI 1709
Nonnegative matrix factorization BibRef

Leng, C.C.[Cheng-Cai], Cai, G.R.[Guo-Rong], Yu, D.D.[Dong-Dong], Wang, Z.Y.[Zong-Yue],
Adaptive total-variation for non-negative matrix factorization on manifold,
PRL(98), No. 1, 2017, pp. 68-74.
Elsevier DOI 1710
Adaptive total variation BibRef

Lin, Z.C.[Zhou-Chen], Xu, C.[Chen], Zha, H.B.[Hong-Bin],
Robust Matrix Factorization by Majorization Minimization,
PAMI(40), No. 1, January 2018, pp. 208-220.
IEEE DOI 1712
Algorithm design and analysis, Convergence, Linear programming, Minimization, Robustness, Scalability, majorization minimization BibRef

Duong, V.H.[Viet-Hang], Bui, M.Q.[Manh-Quan], Ding, J.J.[Jian-Jiun], Lee, Y.S.[Yuan-Shan], Pham, B.T.[Bach-Tung], Bao, P.T.[Pham The], Wang, J.C.[Jia-Ching],
A New Approach of Matrix Factorization on Complex Domain for Data Representation,
IEICE(E100-D), No. 12, December 2017, pp. 3059-3063.
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Chepuri, S.P.,
Factor Analysis From Quadratic Sampling,
SPLetters(25), No. 1, January 2018, pp. 65-69.
IEEE DOI 1801
covariance matrices, iterative methods, matrix decomposition, signal sampling, statistical analysis, stochastic gradient descent BibRef

Fu, X., Huang, K., Sidiropoulos, N.D.,
On Identifiability of Nonnegative Matrix Factorization,
SPLetters(25), No. 3, March 2018, pp. 328-332.
IEEE DOI 1802
Data models, Hyperspectral sensors, Indexes, Matrix decomposition, Science - general, Sensors, US Government, Convex analysis, sufficiently scattered BibRef

Chen, J.Z.[Jia-Zhong], Chen, J.[Jie], Ling, H.[Hefei], Cao, H.[Hua], Sun, W.P.[Wei-Ping], Fan, Y.B.[Ye-Bin], Wu, W.M.[Wei-Min],
Salient object detection via spectral graph weighted low rank matrix recovery,
JVCIR(50), 2018, pp. 270-279.
Elsevier DOI 1802
Saliency detection, Spectral graph, Low rank matrix recovery, Sparse decomposition, Feature matrix BibRef

Huang, S.[Sheng], Wang, H.X.[Hong-Xing], Ge, Y.X.[Yong-Xin], Huangfu, L.[Luwen], Zhang, X.H.[Xiao-Hong], Yang, D.[Dan],
Improved hypergraph regularized Nonnegative Matrix Factorization with sparse representation,
PRL(102), 2018, pp. 8-14.
Elsevier DOI 1802
Nonnegative Matrix Factorization, Image representation, Hypergraph learning, Image clustering, Sparse representation BibRef

Zhu, W.J.[Wen-Jie], Yan, Y.H.[Yun-Hui],
Label and orthogonality regularized non-negative matrix factorization for image classification,
SP:IC(62), 2018, pp. 139-148.
Elsevier DOI 1802
Non-negative matrix factorization (NMF), Orthogonal property, Label consistence, Image classification BibRef

Zhu, W.J.[Wen-Jie], Yan, Y.H.[Yun-Hui],
Non-negative matrix factorization via discriminative label embedding for pattern classification,
JVCIR(55), 2018, pp. 477-488.
Elsevier DOI 1809
Non-negative matrix factorization (NMF), Discriminative label embedding, Orthogonality constraint. BibRef

Tan, Q.[Qi], Yang, P.[Pei], He, J.R.[Jing-Rui],
Feature co-shrinking for co-clustering,
PR(77), 2018, pp. 12-19.
Elsevier DOI 1802
Co-clustering, Non-negative matrix tri-factorization, Co-sparsity, Co-feature-selection BibRef

Erichson, N.B.[N. Benjamin], Mendible, A.[Ariana], Wihlborn, S.[Sophie], Kutz, J.N.[J. Nathan],
Randomized nonnegative matrix factorization,
PRL(104), 2018, pp. 1-7.
Elsevier DOI 1804
NMF, Randomized algorithm, Dimension reduction BibRef

Markopoulos, P.P., Chachlakis, D.G., Papalexakis, E.E.,
The Exact Solution to Rank-1 L1-Norm TUCKER2 Decomposition,
SPLetters(25), No. 4, April 2018, pp. 511-515.
IEEE DOI 1804
computational complexity, matrix decomposition, tensors, 3-way tensors, L1-norm TUCKER2 decomposition, NP-hard problem, tensors BibRef

Fang, Y.X.[Yi-Xian], Zhang, H.X.[Hua-Xiang], Ren, Y.W.[Yu-Wei],
Graph regularised sparse NMF factorisation for imagery de-noising,
IET-CV(12), No. 4, June 2018, pp. 466-475.
DOI Link 1805
BibRef

Fang, Y.X.[Yi-Xian], Ren, Y.W.[Yu-Wei], Zhang, H.X.[Hua-Xiang],
Semantic convex matrix factorisation for cross-media retrieval,
IET-IPR(13), No. 1, January 2019, pp. 196-205.
DOI Link 1812
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Wen, J.[Jie], Zhang, B.[Bob], Xu, Y.[Yong], Yang, J.[Jian], Han, N.[Na],
Adaptive weighted nonnegative low-rank representation,
PR(81), 2018, pp. 326-340.
Elsevier DOI 1806
Low-rank representation, Adaptive weighted matrix, Data clustering, Locality constraint BibRef

Song, M.H.[Ming-Hui], Peng, Y.X.[Yuan-Xi], Jiang, T.[Tian], Li, J.[Jun], Zhang, S.S.[Song-Song],
Accelerated image factorization based on improved NMF algorithm,
RealTimeIP(15), No. 1, June 2018, pp. 93-105.
Springer DOI 1806
BibRef

Chen, Y., Zhang, H., Zhang, X., Liu, R.,
Regularized Semi-non-negative Matrix Factorization for Hashing,
MultMed(20), No. 7, July 2018, pp. 1823-1836.
IEEE DOI 1806
Algorithm design and analysis, Binary codes, Computational modeling, Encoding, Measurement, Optimization, stochastic learning BibRef

He, Z., Yuan, X.,
Block Iteratively Reweighted Algorithms for Robust Symmetric Nonnegative Matrix Factorization,
SPLetters(25), No. 10, October 2018, pp. 1510-1514.
IEEE DOI 1810
iterative methods, matrix decomposition, optimisation, polynomial matrices, symmetric nonnegative matrix factorization (SNMF) BibRef

Pang, J., Huang, J., Yang, X., Wang, Z., Yu, H., Huang, Q., Yin, B.,
Discovering Fine-Grained Spatial Pattern From Taxi Trips: Where Point Process Meets Matrix Decomposition and Factorization,
ITS(19), No. 10, October 2018, pp. 3208-3219.
IEEE DOI 1810
Public transportation, Urban areas, Global Positioning System, Matrix decomposition, Tools, Spatio-temporal pattern, point process BibRef

Huang, Z.W.[Zhi-Wu], Wang, R.P.[Rui-Ping], Li, X.Q.[Xian-Qiu], Liu, W.X.[Wen-Xian], Shan, S.G.[Shi-Guang], Van Gool, L.J.[Luc J.], Chen, X.L.[Xi-Lin],
Geometry-Aware Similarity Learning on SPD Manifolds for Visual Recognition,
CirSysVideo(28), No. 10, October 2018, pp. 2513-2523.
IEEE DOI 1811
Symmetric Positive Definite matrices (SPD). Manifolds, Measurement, Geometry, Optimization, Covariance matrices, Symmetric matrices, Matrix decomposition, PSD manifold BibRef

Guan, N.Y.[Nai-Yang], Liu, T., Zhang, Y., Tao, D.C.[Da-Cheng], Davis, L.S.,
Truncated Cauchy Non-Negative Matrix Factorization,
PAMI(41), No. 1, January 2019, pp. 246-259.
IEEE DOI 1812
Face, Robustness, Matrix decomposition, Linear programming, Programming, Sparse matrices, Analytical models, half-quadratic programming BibRef

Park, D., Kyrillidis, A., Caramanis, C., Sanghavi, S.,
Finding Low-Rank Solutions via Nonconvex Matrix Factorization, Efficiently and Provably,
SIIMS(11), No. 4, 2018, pp. 2165-2204.
DOI Link 1901
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Zhang, W.K.[Wen-Kai], Fu, K.[Kun], Sun, X.[Xian], Zhang, Y.H.[Yu-Hang], Sun, H.[Hao], Wang, H.Q.[Hong-Qi],
Joint optimisation convex-negative matrix factorisation for multi-modal image collection summarisation based on images and tags,
IET-CV(13), No. 2, March 2019, pp. 125-130.
DOI Link 1902
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Fu, X., Huang, K., Sidiropoulos, N.D., Ma, W.,
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications,
SPMag(36), No. 2, March 2019, pp. 59-80.
IEEE DOI 1903
matrix decomposition, NMF, nonnegativity constraints, low-rank latent factor matrices, data matrix, data analytics, Hyperspectral imaging BibRef

Tichý, O., Bódiová, L., Šmídl, V.,
Bayesian Non-Negative Matrix Factorization With Adaptive Sparsity and Smoothness Prior,
SPLetters(26), No. 3, March 2019, pp. 510-514.
IEEE DOI 1903
Bayes methods, covariance matrices, expectation-maximisation algorithm, image sequences, dynamic renal scintigraphy BibRef

Kohjima, M.[Masahiro], Matsubayashi, T.[Tatsushi], Sawada, H.[Hiroshi],
Learning of Nonnegative Matrix Factorization Models for Inconsistent Resolution Dataset Analysis,
IEICE(E102-D), No. 4, April 2019, pp. 715-723.
WWW Link. 1904
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Atif, S.M.[Syed Muhammad], Qazi, S.[Sameer], Gillis, N.[Nicolas],
Improved SVD-based initialization for nonnegative matrix factorization using low-rank correction,
PRL(122), 2019, pp. 53-59.
Elsevier DOI 1904
Nonnegative matrix factorization, Initialization, Singular value decomposition, CR1-NMF BibRef

Pan, J.J.[Jun-Jun], Gillis, N.[Nicolas],
Generalized Separable Nonnegative Matrix Factorization,
PAMI(43), No. 5, May 2021, pp. 1546-1561.
IEEE DOI 2104
Matrix decomposition, Indexes, Hyperspectral imaging, Source separation, Computational modeling, Data models, algorithms BibRef

Gong, M., Jiang, X., Li, H., Tan, K.C.,
Multiobjective Sparse Non-Negative Matrix Factorization,
Cyber(49), No. 8, August 2019, pp. 2941-2954.
IEEE DOI 1905
Matrix decomposition, Pareto optimization, Sparse matrices, Acceleration, Cybernetics, Semantics, Bias effects, sparsity BibRef

Vanegas, J.A.[Jorge A.], Escalante, H.J.[Hugo Jair], González, F.A.[Fabio A.],
Scalable multi-label annotation via semi-supervised kernel semantic embedding,
PRL(123), 2019, pp. 97-103.
Elsevier DOI 1906
BibRef
Earlier:
Semi-supervised Online Kernel Semantic Embedding for Multi-label Annotation,
CIARP17(693-701).
Springer DOI 1802
Semantic representation, Semi-supervised learning, Learning on a budget, Kernel matrix factorization, Multi-label annotation BibRef

Otálora-Montenegro, S.[Sebastian], Pérez-Rubiano, S.A.[Santiago A.], González, F.A.[Fabio A.],
Online Matrix Factorization for Space Embedding Multilabel Annotation,
CIARP13(I:343-350).
Springer DOI 1311
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Akyildiz, Ö.D.[Ömer Deniz], Míguez, J.[Joaquín],
Dictionary filtering: a probabilistic approach to online matrix factorisation,
SIViP(13), No. 4, June 2019, pp. 737-744.
WWW Link. 1906
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Kaloorazi, M.F., Chen, J.,
Randomized Truncated Pivoted QLP Factorization for Low-Rank Matrix Recovery,
SPLetters(26), No. 7, July 2019, pp. 1075-1079.
IEEE DOI 1906
Matrix decomposition, Sparse matrices, Signal processing algorithms, Approximation algorithms, robust PCA BibRef

Crannell, A.[Annalisa], Frantz, M.[Marc], Futamura, F.[Fumiko],
Factoring a Homography to Analyze Projective Distortion,
JMIV(61), No. 7, September 2019, pp. 967-989.
Springer DOI 1908
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Belachew, M.T.[Melisew Tefera],
Efficient algorithm for sparse symmetric nonnegative matrix factorization,
PRL(125), 2019, pp. 735-741.
Elsevier DOI 1909
Sparse symmetric nonnegative matrix factorization, Coordinate-descent method, Feature extraction, Sparsity BibRef

Tosyali, A.[Ali], Kim, J.H.[Jin-Ho], Choi, J.[Jeongsub], Jeong, M.K.[Myong K.],
Regularized asymmetric nonnegative matrix factorization for clustering in directed networks,
PRL(125), 2019, pp. 750-757.
Elsevier DOI 1909
Clustering, Directed network, Nonnegative matrix factorization BibRef

Pang, M.[Meng], Cheung, Y.M.[Yiu-Ming], Liu, R.S.[Ri-Sheng], Lou, J.[Jian], Lin, C.[Chuang],
Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization,
CirSysVideo(29), No. 11, November 2019, pp. 3184-3198.
IEEE DOI 1911
Image reconstruction, Sparse matrices, Image representation, Image coding, Optimization, Laplace equations, Data mining, sparse coding BibRef

Pang, M.[Meng], Lin, C.[Chuang], Liu, R.S.[Ri-Sheng], Fan, X.[Xin], Jiang, J.F.[Ji-Feng], Luo, Z.X.[Zhong-Xuan],
Sparse concept discriminant matrix factorization for image representation,
ICIP15(1255-1259)
IEEE DOI 1512
Sparse coding BibRef

Yi, Y.G.[Yu-Gen], Wang, J.Z.[Jian-Zhong], Zhou, W.[Wei], Zheng, C.X.[Cai-Xia], Kong, J.[Jun], Qiao, S.J.[Shao-Jie],
Non-Negative Matrix Factorization With Locality Constrained Adaptive Graph,
CirSysVideo(30), No. 2, February 2020, pp. 427-441.
IEEE DOI 2002
Manifolds, Matrix decomposition, Clustering algorithms, Linear programming, Dimensionality reduction, Task analysis, locality constraint BibRef

Yi, Y.G.[Yu-Gen], Chen, Y.Q.[Yu-Qi], Wang, J.Z.[Jian-Zhong], Lei, G.[Gang], Dai, J.Y.[Jiang-Yan], Zhang, H.H.[Hui-Hui],
Joint feature representation and classification via adaptive graph semi-supervised nonnegative matrix factorization,
SP:IC(89), 2020, pp. 115984.
Elsevier DOI 2010
Feature representation, Nonnegative matrix factorization, Adaptive graph, Label propagation, Classification BibRef

Yi, C.[Chen], Zhao, Y.Q.[Yong-Qiang], Chan, J.C.W.[Jonathan Cheung-Wai], Kong, S.G.[Seong G.],
Joint Spatial-spectral Resolution Enhancement of Multispectral Images with Spectral Matrix Factorization and Spatial Sparsity Constraints,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
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Teboulle, M.[Marc], Vaisbourd, Y.[Yakov],
Novel Proximal Gradient Methods for Nonnegative Matrix Factorization with Sparsity Constraints,
SIIMS(13), No. 1, 2020, pp. 381-421.
DOI Link 2004
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Xu, S.[Shuang], Zhang, C.X.[Chun-Xia], Zhang, J.S.[Jiang-She],
Adaptive quantile low-rank matrix factorization,
PR(103), 2020, pp. 107310.
Elsevier DOI 2005
Low-rank matrix factorization, Mixture of asymmetric Laplace distributions, Skew noise BibRef

Xiong, Y.J.[Ying-Jun], Xu, Y.[Yan], Shu, X.[Xin],
Cross-view hashing via supervised deep discrete matrix factorization,
PR(103), 2020, pp. 107270.
Elsevier DOI 2005
Matrix factorization, Cross-view hashing, Similarity search BibRef

Pu, J., Panagakis, Y., Petridis, S., Shen, J., Pantic, M.,
Blind Audio-Visual Localization and Separation via Low-Rank and Sparsity,
Cyber(50), No. 5, May 2020, pp. 2288-2301.
IEEE DOI 2005
Visualization, Feature extraction, Sparse matrices, Matrix decomposition, Task analysis, Microphones, Spectrogram, sparsity BibRef

Haeffele, B.D., Vidal, R.,
Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications,
PAMI(42), No. 6, June 2020, pp. 1468-1482.
IEEE DOI 2005
Optimization, Machine learning, Principal component analysis, Videos, Standards, Calcium, Imaging, Low-rank matrix factorization, hyperspectral compressed recovery BibRef

Lane, C., Haeffele, B.D., Vidal, R.,
Adaptive Online k-Subspaces with Cooperative Re-Initialization,
RSL-CV19(678-688)
IEEE DOI 2004
gradient methods, optimisation, stochastic processes, adaptive k-subspace formulation, synthetic image data, matrix factorization BibRef

Gouvert, O., Oberlin, T., Févotte, C.,
Negative Binomial Matrix Factorization,
SPLetters(27), 2020, pp. 815-819.
IEEE DOI 2006
Collaborative filtering, majorization-minimization, non-negative matrix factorization, over-dispersion, Poisson factorization BibRef

Zhang, S., Soubies, E., Févotte, C.,
On the Identifiability of Transform Learning for Non-Negative Matrix Factorization,
SPLetters(27), 2020, pp. 1555-1559.
IEEE DOI 2009
Source separation, Discrete cosine transforms, Adaptation models, Linear programming, joint diagonalization BibRef

Xue, F.[Feng], Wang, W.B.[Wen-Bo], Zhou, W.J.[Wen-Jie], Zeng, T.[Tao], Yang, T.[Tian],
Cross-modal retrieval via label category supervised matrix factorization hashing,
PRL(138), 2020, pp. 469-475.
Elsevier DOI 2010
Cross-modal retrieval, Matrix factorization, Hash BibRef

Wu, J., Luo, F., Zhang, Y., Wang, H.,
Semi-discrete Matrix Factorization,
IEEE_Int_Sys(35), No. 5, September 2020, pp. 73-83.
IEEE DOI 2010
Binary codes, Optimization, Computational modeling, Recommender systems, Quantization (signal), Intelligent systems, Learning to Hash BibRef

Peng, S.Y.[Si-Yuan], Ser, W.[Wee], Chen, B.D.[Ba-Dong], Lin, Z.P.[Zhi-Ping],
Robust semi-supervised nonnegative matrix factorization for image clustering,
PR(111), 2021, pp. 107683.
Elsevier DOI 2012
Nonnegative matrix factorization, Supervised information, Correntropy, Outliers, Image clustering BibRef

Yin, J.X.[Jing-Xing], Peng, S.Y.[Si-Yuan], Yang, Z.J.[Zhi-Jing], Chen, B.D.[Ba-Dong], Lin, Z.P.[Zhi-Ping],
Hypergraph based semi-supervised symmetric nonnegative matrix factorization for image clustering,
PR(137), 2023, pp. 109274.
Elsevier DOI 2302
Symmetric nonnegative matrix factorization, Hypergraph learning, Semi-supervised learning, Clustering BibRef

Peng, S.Y.[Si-Yuan], Yin, J.X.[Jing-Xing], Yang, Z.J.[Zhi-Jing], Chen, B.[Badong], Lin, Z.P.[Zhi-Ping],
Multiview Clustering via Hypergraph Induced Semi-Supervised Symmetric Nonnegative Matrix Factorization,
CirSysVideo(33), No. 10, October 2023, pp. 5510-5524.
IEEE DOI 2310
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Ma, J.Q.[Jia-Qi], Zhang, Y.P.[Yi-Peng], Zhang, L.F.[Le-Fei],
Discriminative subspace matrix factorization for multiview data clustering,
PR(111), 2021, pp. 107676.
Elsevier DOI 2012
Dimension reduction, Multiview, Clustering, Machine learning BibRef

Tian, M., Leng, C., Wu, H., Basu, A.,
Total Variation Constrained Graph-Regularized Convex Non-Negative Matrix Factorization for Data Representation,
SPLetters(28), 2021, pp. 126-130.
IEEE DOI 2101
Signal processing algorithms, TV, Symmetric matrices, Linear programming, Convergence, Sparse matrices, Robustness, data representation BibRef

Hedjam, R.[Rachid], Abdesselam, A.[Abdelhamid], Melgani, F.[Farid],
NMF with feature relationship preservation penalty term for clustering problems,
PR(112), 2021, pp. 107814.
Elsevier DOI 2102
NMF, Orthogonal NMF, Clustering, Unsupervised learning, Low-rank matrix factorization, BibRef

Yang, B., Zhang, X., Nie, F., Wang, F., Yu, W., Wang, R.,
Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization,
IP(30), 2021, pp. 2575-2586.
IEEE DOI 2102
Clustering algorithms, Optimization, Matrix decomposition, Acceleration, Sparse matrices, Computational efficiency, nonnegative and orthogonal factorization (NOF) BibRef

Zhang, C.H.[Chi-Hao], Zhang, S.H.[Shi-Hua],
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise,
PAMI(43), No. 4, April 2021, pp. 1184-1196.
IEEE DOI 2103
Matrix decomposition, Bayes methods, Data integration, Inference algorithms, Data models, Data mining, maximum a posterior BibRef

Liu, S.[Shuai], Feng, J.[Jie], Tian, Z.Q.[Zhi-Qiang],
Variational Low-Rank Matrix Factorization with Multi-Patch Collaborative Learning for Hyperspectral Imagery Mixed Denoising,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
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Zhao, Y.[Yang], Wang, H.Y.[Hui-Yang], Pei, J.H.[Ji-Hong],
Deep Non-Negative Matrix Factorization Architecture Based on Underlying Basis Images Learning,
PAMI(43), No. 6, June 2021, pp. 1897-1913.
IEEE DOI 2106
Feature extraction, Linear programming, Image reconstruction, Kernel, Sparse matrices, Convergence, Data analysis, face recognition BibRef

Zhao, Y.[Yang], Deng, F.[Furong], Pei, J.H.[Ji-Hong], Yang, X.[Xuan],
Progressive Deep Non-Negative Matrix Factorization Architecture with Graph Convolution-based Basis Image Reorganization,
PR(132), 2022, pp. 108984.
Elsevier DOI 2209
Deep non-negative matrix factorization, Graph convolution, Basis image reconstruction, Basis image factorization, Face recognition BibRef

Yang, Z.Y.[Zu-Yuan], Liang, N.Y.[Nai-Yao], Yan, W.[Wei], Li, Z.N.[Zhen-Ni], Xie, S.L.[Sheng-Li],
Uniform Distribution Non-Negative Matrix Factorization for Multiview Clustering,
Cyber(51), No. 6, June 2021, pp. 3249-3262.
IEEE DOI 2106
Matrix decomposition, Computational modeling, Analytical models, Manifolds, Data models, Convergence, Automation, Clustering, non-negative matrix factorization (NMF) BibRef

Zhang, Y.[Ying], Li, X.L.[Xiang-Li], Jia, M.X.[Meng-Xue],
Adaptive graph-based discriminative nonnegative matrix factorization for image clustering,
SP:IC(95), 2021, pp. 116253.
Elsevier DOI 2106
Nonnegative matrix factorization, Adaptive graph regularization, Semi-supervised learning BibRef

Wu, W.H.[Wen-Hui], Jia, Y.H.[Yu-Heng], Wang, S.Q.[Shi-Qi], Wang, R.[Ran], Fan, H.F.[Hong-Fei], Kwong, S.[Sam],
Positive and Negative Label-Driven Nonnegative Matrix Factorization,
CirSysVideo(31), No. 7, July 2021, pp. 2698-2710.
IEEE DOI 2107
Optimization, Task analysis, Manifolds, Data models, Fans, Urban areas, negative label BibRef

Wen, J.[Jie], Yan, K.[Ke], Zhang, Z.[Zheng], Xu, Y.[Yong], Wang, J.Q.[Jun-Qian], Fei, L.[Lunke], Zhang, B.[Bob],
Adaptive Graph Completion Based Incomplete Multi-View Clustering,
MultMed(23), 2021, pp. 2493-2504.
IEEE DOI 2108
Clustering methods, Machine learning, Visualization, Task analysis, Optimization, similarity graph BibRef

Wen, J.[Jie], Zhang, Z.[Zheng], Xu, Y.[Yong], Zhong, Z.F.[Zuo-Feng],
Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization,
CEFR-LCV18(IV:593-608).
Springer DOI 1905
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Cai, T.[Ting], Tan, V.Y.F.[Vincent Y. F.], Févotte, C.[Cédric],
Adversarially-Trained Nonnegative Matrix Factorization,
SPLetters(28), 2021, pp. 1415-1419.
IEEE DOI 2108
Optimization, Standards, Task analysis, Matrix decomposition, Dictionaries, Training, Signal processing algorithms, matrix completion BibRef

Wang, W.[Wei], Chen, F.Y.[Fei-Yu], Ge, Y.X.[Yong-Xin], Huang, S.[Sheng], Zhang, X.H.[Xiao-Hong], Yang, D.[Dan],
Discriminative deep semi-nonnegative matrix factorization network with similarity maximization for unsupervised feature learning,
PRL(149), 2021, pp. 157-163.
Elsevier DOI 2108
Discriminativity, Deep semi-NMF network, Similarity maximization, Feature learning BibRef

Zhang, Y.[Yan], Zhang, Z.[Zhao], Wang, Y.[Yang], Zhang, Z.[Zheng], Zhang, L.[Li], Yan, S.C.[Shui-Cheng], Wang, M.[Meng],
Dual-Constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior,
IJCV(129), No. 12, December 2021, pp. 3233-3254.
Springer DOI 2111
BibRef

Zou, Z.Y.[Zhi-Yuan], Liu, W.B.[Wei-Bin], Xing, W.W.[Wei-Wei],
AdaNFF: A new method for adaptive nonnegative multi-feature fusion to scene classification,
PR(123), 2022, pp. 108402.
Elsevier DOI 2112
Scene classification, Adaptive feature fusion, Nonnegative matrix factorization, Feature fusion boosting BibRef

Wang, Q.[Qi], He, X.[Xiang], Jiang, X.[Xu], Li, X.L.[Xue-Long],
Robust Bi-Stochastic Graph Regularized Matrix Factorization for Data Clustering,
PAMI(44), No. 1, January 2022, pp. 390-403.
IEEE DOI 2112
Robustness, Sparse matrices, Matrix decomposition, Loss measurement, Task analysis, Manifolds, Tools, robustness BibRef

Cai, H.Q.[Han-Qin], Hamm, K.[Keaton], Huang, L.X.[Long-Xiu], Needell, D.[Deanna],
Robust CUR Decomposition: Theory and Imaging Applications,
SIIMS(14), No. 4, 2021, pp. 1472-1503.
DOI Link 2112
BibRef

Li, H.R.[Hui-Rong], Gao, Y.L.[Yue-Lin], Liu, J.M.[Jun-Min], Zhang, J.S.[Jiang-She], Li, C.[Chao],
Semi-supervised graph regularized nonnegative matrix factorization with local coordinate for image representation,
SP:IC(102), 2022, pp. 116589.
Elsevier DOI 2202
Nonnegative matrix factorization, Graph regularization, Semi-supervised learning, Local coordinate BibRef

Xie, T.[Ting], Zhang, H.[Hua], Liu, R.H.[Rui-Hua], Xiao, H.G.[Han-Guang],
Accelerated sparse nonnegative matrix factorization for unsupervised feature learning,
PRL(156), 2022, pp. 46-52.
Elsevier DOI 2205
Nonnegative matrix factorization, Clustering, Sparse BibRef

Feng, L.[Lei], Huang, J.[Jun], Shu, S.[Senlin], An, B.[Bo],
Regularized Matrix Factorization for Multilabel Learning With Missing Labels,
Cyber(52), No. 5, May 2022, pp. 3710-3721.
IEEE DOI 2206
Correlation, Matrix decomposition, Manifolds, Training, Adaptation models, Nickel, Cybernetics, Latent factors, regularized matrix factorization BibRef

Sun, Y.F.[Yan-Feng], Wang, J.[Jie], Guo, J.P.[Ji-Peng], Hu, Y.L.[Yong-Li], Yin, B.C.[Bao-Cai],
Globality constrained adaptive graph regularized non-negative matrix factorization for data representation,
IET-IPR(16), No. 10, 2022, pp. 2577-2592.
DOI Link 2207
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Guo, J.P.[Ji-Peng], Yin, S.[Shuai], Sun, Y.F.[Yan-Feng], Hu, Y.L.[Yong-Li],
Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation,
ICPR21(901-906)
IEEE DOI 2105
Manifolds, Learning systems, Adaptation models, Clustering algorithms, Pattern recognition, Iterative methods, Task analysis BibRef

Guo, J.P.[Ji-Peng], Sun, Y.F.[Yan-Feng], Gao, J.B.[Jun-Bin], Hu, Y.L.[Yong-Li], Yin, B.C.[Bao-Cai],
Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering,
ICPR21(907-914)
IEEE DOI 2105
Manifolds, Upper bound, Computational modeling, Minimization, Data models, Pattern recognition, Matrix decomposition BibRef

Gillis, N.[Nicolas], Hien, L.T.K.[Le Thi Khanh], Leplat, V.[Valentin], Tan, V.Y.F.[Vincent Y. F.],
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization,
PAMI(44), No. 8, August 2022, pp. 4052-4064.
IEEE DOI 2207
Linear programming, Optimization, Standards, Data models, Minimization, Image reconstruction, Dimensionality reduction, multiplicative updates BibRef

Yuan, A.H.[Ai-Hong], You, M.B.[Meng-Bo], He, D.J.[Dong-Jian], Li, X.L.[Xue-Long],
Convex Non-Negative Matrix Factorization With Adaptive Graph for Unsupervised Feature Selection,
Cyber(52), No. 6, June 2022, pp. 5522-5534.
IEEE DOI 2207
Manifolds, Computational modeling, Task analysis, Encoding, Analytical models, Optimization, Feature extraction, unsupervised feature selection (UFS) BibRef

You, M.B.[Meng-Bo], Yuan, A.H.[Ai-Hong], He, D.J.[Dong-Jian], Li, X.L.[Xue-Long],
Unsupervised Feature Selection via Neural Networks and Self-Expression with Adaptive Graph Constraint,
PR(135), 2023, pp. 109173.
Elsevier DOI 2212
Unsupervised feature selection, Manifold structure, Adaptive graph constraint, Neural networks BibRef

Zhang, R.[Rui], Zhang, Y.X.[Yun-Xing], Lu, C.J.[Cheng-Jun], Li, X.L.[Xue-Long],
Unsupervised Graph Embedding via Adaptive Graph Learning,
PAMI(45), No. 4, April 2023, pp. 5329-5336.
IEEE DOI 2303
Laplace equations, Graph neural networks, Adaptation models, Adaptive learning, Task analysis, Decoding, Topology, graph autoencoder BibRef

Jia, Y.H.[Yu-Heng], Liu, H.[Hui], Hou, J.H.[Jun-Hui], Kwong, S.[Sam], Zhang, Q.F.[Qing-Fu],
Self-Supervised Symmetric Nonnegative Matrix Factorization,
CirSysVideo(32), No. 7, July 2022, pp. 4526-4537.
IEEE DOI 2207
Matrix decomposition, Symmetric matrices, Optimization, Clustering methods, Faces, Sensitivity, Dimensionality reduction, clustering BibRef

Magron, P.[Paul], Févotte, C.[Cédric],
A Majorization-Minimization Algorithm for Nonnegative Binary Matrix Factorization,
SPLetters(29), 2022, pp. 1526-1530.
IEEE DOI 2208
Data models, Logistics, Computational modeling, Upper bound, Principal component analysis, Estimation, majorization-minimization BibRef

Wang, D.[Di], Han, S.W.[Song-Wei], Wang, Q.[Quan], He, L.[Lihuo], Tian, Y.M.[Yu-Min], Gao, X.B.[Xin-Bo],
Pseudo-Label Guided Collective Matrix Factorization for Multiview Clustering,
Cyber(52), No. 9, September 2022, pp. 8681-8691.
IEEE DOI 2208
Clustering methods, Interviews, Iterative methods, Cybernetics, Correlation, Manifolds, Computational efficiency, pseudo-label BibRef

Rahiche, A.[Abderrahmane], Cheriet, M.[Mohamed],
Variational Bayesian Orthogonal Nonnegative Matrix Factorization Over the Stiefel Manifold,
IP(31), 2022, pp. 5543-5558.
IEEE DOI 2209
Bayes methods, Probabilistic logic, Manifolds, Matrix decomposition, Task analysis, Source separation, von Mises-Fisher distribution BibRef

de Handschutter, P.[Pierre], Gillis, N.[Nicolas],
A consistent and flexible framework for deep matrix factorizations,
PR(134), 2023, pp. 109102.
Elsevier DOI 2212
Deep matrix factorization, Loss functions, Constrained optimization, First-order methods, Hyperspectral unmixing BibRef

Liu, X.L.[Xin-Ling], Hou, J.Y.[Jing-Yao], Wang, J.J.[Jian-Jun],
Robust Low-Rank Matrix Recovery Fusing Local-Smoothness,
SPLetters(29), 2022, pp. 2552-2556.
IEEE DOI 2301
Minimization, TV, Linear matrix inequalities, Sparse matrices, Indexes, Hyperspectral imaging, Signal processing algorithms, hyperspectral images BibRef

Chavoshinejad, J.[Jovan], Seyedi, S.A.[Seyed Amjad], Akhlaghian-Tab, F.[Fardin], Salahian, N.[Navid],
Self-supervised semi-supervised nonnegative matrix factorization for data clustering,
PR(137), 2023, pp. 109282.
Elsevier DOI 2302
Nonnegative matrix factorization, Semi-supervised learning, Self-supervised learning, Ensemble clustering BibRef

Sun, X.[Xia], Li, B.[Bo], Sutcliffe, R.[Richard], Gao, Z.[Zhizezhang], Kang, W.Y.[Wen-Ying], Feng, J.[Jun],
Wse-MF: A weighting-based student exercise matrix factorization model,
PR(138), 2023, pp. 109285.
Elsevier DOI 2303
Educational data mining, Personalized exercise prediction, Matrix factorization BibRef

Hou, L.S.[Liang-Shao], Chu, D.[Delin], Liao, L.Z.[Li-Zhi],
A Progressive Hierarchical Alternating Least Squares Method for Symmetric Nonnegative Matrix Factorization,
PAMI(45), No. 5, May 2023, pp. 5355-5369.
IEEE DOI 2304
Symmetric matrices, Convergence, Matrix decomposition, Dimensionality reduction, Data mining, Minimization, Systematics, clustering BibRef

Wang, K.[Kaijie], He, F.[Fan], He, M.Z.[Ming-Zhen], Huang, X.L.[Xiao-Lin],
Learning non-parametric kernel via matrix decomposition for logistic regression,
PRL(171), 2023, pp. 177-183.
Elsevier DOI 2306
Non-parametric kernel, Indefinite kernel, Matrix decomposition, Kernel logistic regression BibRef

Giraud, M.[Maxence], Itier, V.[Vincent], Boyer, R.[Rémy], Zniyed, Y.[Yassine], de Almeida, A.L.F.[André L.F.],
Tucker Decomposition Based on a Tensor Train of Coupled and Constrained CP Cores,
SPLetters(30), 2023, pp. 758-762.
IEEE DOI 2307
Tensors, Matrix decomposition, Signal processing algorithms, Estimation, Singular value decomposition, Couplings, Costs, Tensor, multilinear algebra BibRef

Pan, J.J.[Jun-Jun], Ng, M.K.[Michael K.],
Separable Quaternion Matrix Factorization for Polarization Images,
SIIMS(16), No. 3, 2023, pp. 1281-1307.
DOI Link 2309
BibRef

Zuo, H.L.[Hong-Liang], Li, S.[Shuo], Liang, C.[Cong], Li, J.T.[Jun-Tao],
Auto-adjustable hypergraph regularized non-negative matrix factorization for image clustering,
PR(145), 2024, pp. 109963.
Elsevier DOI 2311
Non-negative matrix factorization, Hypergraph regularization, Robustness, Outlier BibRef

Li, Y.[Yinan], Wang, R.[Ruili], Fang, Y.Q.[Yu-Qiang], Sun, M.[Meng], Luo, Z.K.[Zhang-Kai],
Alternating Direction Method of Multipliers for Convolutive Non-Negative Matrix Factorization,
Cyber(53), No. 12, December 2023, pp. 7735-7748.
IEEE DOI 2312
BibRef


Kobayashi, T.[Takumi], Watanabe, K.[Kenji],
End-to-End Trainable Weakly Non-Negative Factorization,
ICIP23(490-494)
IEEE DOI 2312
BibRef

Zhang, S.Y.[Stephen Y.],
A unified framework for non-negative matrix and tensor factorisations with a smoothed Wasserstein loss,
TAG-CV21(4178-4186)
IEEE DOI 2112
Geometry, Tensors, Transportation, Imaging, Transforms BibRef

Zhao, H.[Huan], She, X.L.[Xiao-Lin], Wang, S.[Song], Ma, K.[Kaili],
Fast Discrete Matrix Factorization Hashing for Large-scale Cross-modal Retrieval,
MMMod21(I:24-36).
Springer DOI 2106
BibRef

Mukkamala, M.C.[Mahesh Chandra], Westerkamp, F.[Felix], Laude, E.[Emanuel], Cremers, D.[Daniel], Ochs, P.[Peter],
Bregman Proximal Gradient Algorithms for Deep Matrix Factorization,
SSVM21(204-215).
Springer DOI 2106
BibRef

Peng, C.[Chong], Chen, C.L.[Cheng-Lizhao], Kang, Z.[Zhao], Li, J.B.[Jian-Bo], Cheng, Q.A.[Qi-Ang],
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices,
CVPR19(7309-7317).
IEEE DOI 2002
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Zheng, H., Liang, Z., Tian, F., Ming, Z.,
NMF-Based Comprehensive Latent Factor Learning with Multiview Data,
ICIP19(489-493)
IEEE DOI 1910
Comprehensive, multiview learning, latent factor learning, non-negative matrix factorization (NMF). BibRef

Pan, J., Ng, M.K., Zhang, X.,
Structured Convex Optimization Method for Orthogonal Nonnegative Matrix Factorization,
ICPR18(459-464)
IEEE DOI 1812
Numerical models, Clustering algorithms, Optimization, Convergence, Eigenvalues and eigenfunctions, Matrix decomposition BibRef

Hwang, S.J., Kim, H.J., Ravi, S.N., Collins, M.D., Tao, Z., Singh, V.,
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning,
CVPR18(1014-1023)
IEEE DOI 1812
Visualization, Task analysis, Semantics, Genomics, Bioinformatics, Training BibRef

Giampouras, P.V., Rontogiannis, A.A., Koutroumbas, K.D.,
Robust PCA via Alternating Iteratively Reweighted Low-Rank Matrix Factorization,
ICIP18(3383-3387)
IEEE DOI 1809
Principal component analysis, Robustness, Sparse matrices, Minimization, Cost function, Imaging, robust PCA, low-rank, matrix factorization BibRef

An, S.,
Multi-Task Nonnegative Matrix Factorization,
ICIP18(2272-2275)
IEEE DOI 1809
Task analysis, Matrix decomposition, Kernel, Encoding, Clustering algorithms, Videos, Feature extraction, daily activity recognition BibRef

Sun, Y., Liu, X., Liang, L.,
Retrain-free fully connected layer optimization using matrix factorization,
ICIP17(3914-3918)
IEEE DOI 1803
Complexity theory, Graphics processing units, Hardware, Matrix decomposition, Optimization, Surgery, Task analysis, neural network optimization BibRef

Tepper, M.[Mariano], Sapiro, G.[Guillermo],
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting,
CVPR17(655-663)
IEEE DOI 1711
Computational modeling, Data models, Meteorology, Parametric statistics, Pattern recognition, Robustness BibRef

Larsson, V., Olsson, C.,
Compact Matrix Factorization with Dependent Subspaces,
CVPR17(4361-4370)
IEEE DOI 1711
Adaptation models, Computational modeling, Data models, Estimation, Matrix decomposition, Predictive, models BibRef

Ithapu, V.K., Kondor, R., Johnson, S.C., Singh, V.,
The Incremental Multiresolution Matrix Factorization Algorithm,
CVPR17(692-701)
IEEE DOI 1711
Covariance matrices, Image resolution, Multiresolution analysis, Sparse matrices, Symmetric matrices, Tools BibRef

Bao, Y.Y.[Yan-Yan], Liu, H.W.[Hong-Wei],
Nonmonotone projected Barzilai-Borwein method for compressed sensing,
ICIVC17(756-760)
IEEE DOI 1708
Ions, Optical sensors, Barzilai-Borwein stepsize, compressed sensing, gradient projection, nonmonotone, line, search BibRef

Kohjima, M., Matsubayashi, T., Sawada, H.,
Non-negative multiple matrix factorization with Euclidean and Kullback-Leibler mixed divergences,
ICPR16(2515-2520)
IEEE DOI 1705
Euclidean distance, Linear programming, Measurement uncertainty, Optimization, Pattern recognition, Proposals, Smart, phones BibRef

Lan, C., Li, X., Deng, Y., Amand, J.S., Huan, J.,
A PAC bound for joint matrix completion based on Partially Collective Matrix Factorization,
ICPR16(2628-2633)
IEEE DOI 1705
Indexes, Loading, Mathematical model, Picture archiving and communication systems, Sparse matrices, Standards BibRef

Tripodi, R., Vascon, S., Pelillo, M.,
Context aware nonnegative matrix factorization clustering,
ICPR16(1719-1724)
IEEE DOI 1705
Clustering algorithms, Feature extraction, Game theory, Games, Mathematical model, Matrix, decomposition BibRef

Lemaitre, F., Lacassagne, L.,
Batched Cholesky factorization for tiny matrices,
DASIP16(130-137)
IEEE DOI 1704
mathematics computing BibRef

Luo, Q., Han, Z.[Zhi], Chen, X.[Xi'ai], Wang, Y.[Yao], Meng, D.Y.[De-Yu], Liang, D., Tang, Y.D.[Yan-Dong],
Tensor RPCA by Bayesian CP Factorization with Complex Noise,
ICCV17(5029-5038)
IEEE DOI 1802
Bayes methods, Gaussian noise, approximation theory, matrix algebra, matrix decomposition, Tensile stress BibRef

Chen, X.[Xi'ai], Han, Z.[Zhi], Wang, Y.[Yao], Zhao, Q.[Qian], Meng, D.Y.[De-Yu], Tang, Y.D.[Yan-Dong],
Robust Tensor Factorization with Unknown Noise,
CVPR16(5213-5221)
IEEE DOI 1612
BibRef

Meng, D.Y.[De-Yu], de la Torre, F.[Fernando],
Robust Matrix Factorization with Unknown Noise,
ICCV13(1337-1344)
IEEE DOI 1403
BibRef

Bampis, C.G., Maragos, P., Bovik, A.C.,
Projective non-negative matrix factorization for unsupervised graph clustering,
ICIP16(1255-1258)
IEEE DOI 1610
Convergence BibRef

Hong, J.H., Fitzgibbon, A.,
Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts,
ICCV15(4130-4138)
IEEE DOI 1602
Algorithm design and analysis BibRef

Wang, T.C.[Tian-Chun], Ye, T.Q.[Teng-Qi], Gurrin, C.[Cathal],
Transfer Nonnegative Matrix Factorization for Image Representation,
MMMod16(II: 3-14).
Springer DOI 1601
BibRef

Wang, Z.F.[Zhen-Fan], Kong, X.W.[Xiang-Wei], Fu, H.Y.[Hai-Yan], Li, M.[Ming], Zhang, Y.J.[Yu-Jia],
Feature Extraction via Multi-View Non-Negative Matrix Factorization with Local Graph Regularization,
ICIP15(3500-3504)
IEEE DOI 1512
Feature extraction BibRef

Turkan, M.[Mehmet], Alain, M.[Martin], Thoreau, D.[Dominique], Guillotel, P.[Philippe], Guillemot, C.[Christine],
Epitomic image factorization via neighbor-embedding,
ICIP15(4141-4145)
IEEE DOI 1512
Epitome learning BibRef

Páez-Torres, A.E.[Andrés Esteban], González, F.A.[Fabio A.],
Online Kernel Matrix Factorization,
CIARP15(651-658).
Springer DOI 1511
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Beltrán, V.[Viviana], Vanegas, J.A.[Jorge A.], González, F.A.[Fabio A.],
Semi-supervised Dimensionality Reduction via Multimodal Matrix Factorization,
CIARP15(676-682).
Springer DOI 1511
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Chen, P.X.[Pei-Xian], Wang, N.Y.[Nai-Yan], Zhang, N.L.[Nevin L.], Yeung, D.Y.[Dit-Yan],
Bayesian adaptive matrix factorization with automatic model selection,
CVPR15(1284-1292)
IEEE DOI 1510
BibRef

Oskarsson, M.[Magnus], Batstone, K., Astrom, K.[Kalle],
Trust No One: Low Rank Matrix Factorization Using Hierarchical RANSAC,
CVPR16(5820-5829)
IEEE DOI 1612
BibRef

Jiang, F.Y.[Fang-Yuan], Oskarsson, M.[Magnus], Astrom, K.[Kalle],
On the minimal problems of low-rank matrix factorization,
CVPR15(2549-2557)
IEEE DOI 1510
BibRef

Huang, S.[Sheng], Elhoseiny, M.[Mohamed], Elgammal, A.M.[Ahmed M.], Yang, D.[Dan],
Improving non-negative matrix factorization via ranking its bases,
ICIP14(5951-5955)
IEEE DOI 1502
Algorithm design and analysis BibRef

Zafeiriou, L.[Lazaros], Nikitidis, S.[Symeon], Zafeiriou, S.P.[Stefanos P.], Pantic, M.[Maja],
Slow features nonnegative matrix factorization for temporal data decomposition,
ICIP14(1430-1434)
IEEE DOI 1502
Algorithm design and analysis
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Nourbakhsh, F.[Farshad], Bulo, S.R.[Samuel Rota], Pelillo, M.[Marcello],
A Matrix Factorization Approach to Graph Compression,
ICPR14(76-81)
IEEE DOI 1412
Accuracy BibRef

Chaudhari, S.[Sneha], Murty, M.N.[M.Narasimha],
Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization,
ICPR14(1431-1436)
IEEE DOI 1412
Accuracy BibRef

Zen, G.[Gloria], Ricci, E.[Elisa], Sebe, N.[Nicu],
Simultaneous Ground Metric Learning and Matrix Factorization with Earth Mover's Distance,
ICPR14(3690-3695)
IEEE DOI 1412
Earth BibRef

Shu, X.B.[Xian-Biao], Porikli, F.M.[Fatih M.], Ahuja, N.[Narendra],
Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-Rank Matrices,
CVPR14(3874-3881)
IEEE DOI 1409
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Li, Y.M.[Ying-Ming], Yang, M.[Ming], Zhang, Z.F.[Zhong-Fei],
Coordinate Ranking Regularized Non-negative Matrix Factorization,
ACPR13(215-219)
IEEE DOI 1408
data mining BibRef

Qin, Z.[Zhen], van Beek, P.[Peter], Chen, X.[Xu],
Direct Matrix Factorization and Alignment Refinement: Application to Defect Detection,
CRV14(135-142)
IEEE DOI 1406
Accuracy BibRef

Guo, W.W.[Wei-Wei], Hu, W.D.[Wei-Dong], Boulgouris, N.V.[Nikolaos V.], Patras, I.[Ioannis],
Semi-supervised visual recognition with constrained graph regularized non negative matrix factorization,
ICIP13(2743-2747)
IEEE DOI 1402
Non Negative Matrix Factorization BibRef

Liu, L.[Lei], Comar, P.M.[Prakash Mandayam], Saha, S.[Sabyasachi], Tan, P.N.[Pang-Ning], Nucci, A.[Antonio],
Recursive NMF: Efficient label tree learning for large multi-class problems,
ICPR12(2148-2151).
WWW Link. 1302
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Xie, S.N.[Sai-Ning], Lu, H.T.[Hong-Tao], He, Y.C.[Yang-Cheng],
Multi-task co-clustering via nonnegative matrix factorization,
ICPR12(2954-2958).
WWW Link. 1302
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Wang, N.Y.[Nai-Yan], Yeung, D.Y.[Dit-Yan],
Bayesian Robust Matrix Factorization for Image and Video Processing,
ICCV13(1785-1792)
IEEE DOI 1403
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Wang, N.Y.[Nai-Yan], Yao, T.S.[Tian-Sheng], Wang, J.D.[Jing-Dong], Yeung, D.Y.[Dit-Yan],
A Probabilistic Approach to Robust Matrix Factorization,
ECCV12(VII: 126-139).
Springer DOI 1210
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Zdunek, R.[Rafal],
Trust-Region Algorithm for Nonnegative Matrix Factorization with Alpha- and Beta-Divergences,
DAGM12(226-235).
Springer DOI 1209
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Wang, D.[Dong], Lu, H.C.[Hu-Chuan],
Incremental orthogonal projective non-negative matrix factorization and its applications,
ICIP11(2077-2080).
IEEE DOI 1201
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Kumar, V.B.G.[Vijay B.G.], Patras, I.[Ioannis], Kotsia, I.[Irene],
Max-Margin Semi-NMF,
BMVC11(xx-yy).
HTML Version. 1110
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Gupta, M.D.[Mithun Das], Xiao, J.[Jing],
Non-negative matrix factorization as a feature selection tool for maximum margin classifiers,
CVPR11(2841-2848).
IEEE DOI 1106
BibRef

Kirbiz, S.[Serap], Cemgil, A.T.[A. Taylan], Gunsel, B.[Bilge],
Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models,
ICPR10(2812-2815).
IEEE DOI 1008
BibRef

Jammalamadaka, A.[Aruna], Joshi, S.[Swapna], Karthikeyan, S., Manjunath, B.S.,
Discriminative Basis Selection Using Non-negative Matrix Factorization,
ICPR10(1533-1536).
IEEE DOI 1008
BibRef

Karthikeyan, S., Joshi, S.[Swapna], Manjunath, B.S., Grafton, S.[Scott],
Intra-class multi-output regression based subspace analysis,
ICIP12(1173-1176).
IEEE DOI 1302

See also Probabilistic subspace-based learning of shape dynamics modes for multi-view action recognition. BibRef

Vadivel, K.S.[Karthikeyan Shanmuga], Sargin, M.E.[Mehmet Emre], Joshi, S.[Swapna], Manjunath, B.S., Grafton, S.[Scott],
Generalized subspace based high dimensional density estimation,
ICIP11(1849-1852).
IEEE DOI 1201
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Joshi, S.[Swapna], Karthikeyan, S., Manjunath, B.S., Grafton, S.[Scott], Kiehl, K.A.[Kent A.],
Anatomical parts-based regression using non-negative matrix factorization,
CVPR10(2863-2870).
IEEE DOI 1006
BibRef

Gu, Q.Q.[Quan-Quan], Zhou, J.[Jie],
Two Dimensional Nonnegative Matrix Factorization,
ICIP09(2069-2072).
IEEE DOI 0911
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And:
Neighborhood Preserving Nonnegative Matrix Factorization,
BMVC09(xx-yy).
PDF File. 0909
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Gu, Q.Q.[Quan-Quan], Zhou, J.[Jie],
Multiple Kernel Maximum Margin Criterion,
ICIP09(2049-2052).
IEEE DOI 0911
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Tang, J.[Jiayu], Lewis, P.H.[Paul H.],
Non-negative matrix factorisation for object class discovery and image auto-annotation,
CIVR08(105-112). 0807
BibRef
Earlier:
Using multiple segmentations for image auto-annotation,
CIVR07(581-586).
DOI Link 0707
BibRef

Li, L.[Le], Zhang, Y.J.[Yu-Jin],
FastNMF: A fast monotonic fixed-point non-negative Matrix Factorization algorithm with high ease of use,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Rodrigues, J.J.[Jose J.], Aguiar, P.M.Q.[Pedro M.Q.], Xavier, J.M.F.[Joao M.F.],
ANSIG: An analytic signature for permutation-invariant two-dimensional shape representation,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Aguiar, P.M.Q.[Pedro M.Q.], Xavier, J.M.F.[Joao M.F.], Stosic, M.[Marko],
Spectrally optimal factorization of incomplete matrices,
CVPR08(1-8).
IEEE DOI 0806
BibRef
And:
Globally optimal solution to exploit rigidity when recovering structure from motion under occlusion,
ICIP08(197-200).
IEEE DOI 0810
BibRef

Aguiar, P.M.Q.[Pedro M.Q.], Miranda, A.R.[António R.], de Castro, N.[Nuno],
Occlusion-Based Accurate Silhouettes from Video Streams,
ICIAR06(I: 816-826).
Springer DOI 0610
BibRef

Aguiar, P.M.Q.[Pedro M.Q.], Moura, J.M.F.[José M.F.],
Joint Segmentation of Moving Object and Estimation of Background in Low-Light Video using Relaxation,
ICIP07(V: 53-56).
IEEE DOI 0709
BibRef
Earlier:
Maximum Likelihood Estimation of the Template of a Rigid Moving Object,
EMMCVPR01(34-49).
Springer DOI 0205
BibRef
Earlier:
Detecting and Solving Template Ambiguities in Motion Segmentation,
ICIP97(II: 494-497).
IEEE DOI BibRef
Earlier:
Incremental Motion Segmentation in Low Texture,
ICIP96(I: 233-236).
IEEE DOI BibRef

Potluru, V.K.[Vamsi K.], Plis, S.M.[Sergey M.], Calhoun, V.D.[Vince D.],
Sparse shift-invariant NMF,
Southwest08(69-72).
IEEE DOI 0803
Non-negative Matrix Factorization. BibRef

Zheng, W.S.[Wei-Shi], Li, S.Z.[Stan Z.], Lai, J.H., Liao, S.C.[Sheng-Cai],
On Constrained Sparse Matrix Factorization,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Loke, Y.R., Ranganath, S.,
Batch Algorithm with Additional Shape Constraints for Non-Rigid Factorization,
BMVC07(xx-yy).
PDF File. 0709
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Kim, Y.D.[Yong-Deok], Choi, S.J.[Seung-Jin],
Nonnegative Tucker Decomposition,
ComponentAnalysis07(1-8).
IEEE DOI 0706
Tensor factorization. Multilinear extension of matrix factorization. BibRef

Samko, O.[Oksana], Rosin, P.L.[Paul L.], Marshall, A.D.[A. Dave],
Robust Automatic Data Decomposition Using a Modified Sparse NMF,
MIRAGE07(225-234).
Springer DOI 0703
Representation from real world data with unknown structure. Non-negative matrix factorization (sparse NMF). BibRef

Yuan, Z.J.[Zhi-Jian], Oja, E.[Erkki],
Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction,
SCIA05(333-342).
Springer DOI 0506
BibRef

Buchanan, A.M., Fitzgibbon, A.W.,
Damped Newton Algorithms for Matrix Factorization with Missing Data,
CVPR05(II: 316-322).
IEEE DOI 0507
BibRef

Aanæs, H.[Henrik], Fisker, R.[Rune], Åström, K.[Kalle], Carstensen, J.M.[Jens Michael],
Factorization with Erroneous Data,
PCV02(A: 15). 0305
BibRef

Rother, C., Carlsson, S., Tell, D.,
Projective factorization of planes and cameras in multiple views,
ICPR02(II: 737-740).
IEEE DOI 0211
BibRef

Triggs, B.[Bill],
Plane + Parallax, Tensors, and Factorization,
ECCV00(I: 522-538).
Springer DOI 0003
BibRef

Aguiar, P.,
Weighted Factorization,
ICIP00(Vol I: 549-552).
IEEE DOI 0008
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Matrix Completion Algorithms .


Last update:Mar 16, 2024 at 20:36:19