Rebollo-Neira, L.,
Dictionary redundancy elimination,
VISP(151), No. 1, February 2004, pp. 31-34.
IEEE Abstract.
0403
Signal as linear combination of waveforms.
BibRef
Peyre, G.[Gabriel],
Fadili, J.M.[Jalal M.],
Starck, J.L.[Jean-Luc],
Learning The Morphological Diversity,
SIIMS(3), No. 3, 2010, pp. 646-669.
DOI Link
1011
adaptive morphological component analysis; sparsity; image separation;
inpainting; dictionary learning; cartoon images; texture; wavelets
BibRef
Li, Y.F.[Ya-Feng],
Feng, X.C.[Xiang-Chu],
Image decomposition via learning the morphological diversity,
PRL(33), No. 2, 15 January 2012, pp. 111-120.
Elsevier DOI
1112
Morphological component analysis; Image decomposition; Sparse
representation; Dictionary learning
BibRef
Castrodad, A.[Alexey],
Xing, Z.M.[Zheng-Ming],
Greer, J.B.[John B.],
Bosch, E.[Edward],
Carin, L.[Lawrence],
Sapiro, G.[Guillermo],
Learning Discriminative Sparse Representations for Modeling, Source
Separation, and Mapping of Hyperspectral Imagery,
GeoRS(49), No. 11, November 2011, pp. 4263-4281.
IEEE DOI
1112
BibRef
Earlier:
Discriminative sparse representations in hyperspectral imagery,
ICIP10(1313-1316).
IEEE DOI
1009
BibRef
Xing, Z.M.[Zheng-Ming],
Zhou, M.Y.[Ming-Yuan],
Castrodad, A.[Alexey],
Sapiro, G.[Guillermo],
Carin, L.[Lawrence],
Dictionary Learning for Noisy and Incomplete Hyperspectral Images,
SIIMS(5), No. 1 2012, pp. 33-56.
DOI Link
1201
BibRef
Zhou, M.Y.[Ming-Yuan],
Carin, L.[Lawrence],
Negative Binomial Process Count and Mixture Modeling,
PAMI(37), No. 2, February 2015, pp. 307-320.
IEEE DOI
1502
Analytical models
BibRef
Liu, Q.G.[Qie-Gen],
Wang, S.S.[Shan-Shan],
Luo, J.H.[Jian-Hua],
A novel predual dictionary learning algorithm,
JVCIR(23), No. 1, January 2012, pp. 182-193.
Elsevier DOI
1112
Dictionary learning; Sparse representation; Predual proximal point
algorithm; Bregman iteration method; Iterated refinement property;
Gradient descent; Majorization-minimization; Image denoising
BibRef
Feldman, D.[Dan],
Feigin, M.[Micha],
Sochen, N.A.[Nir A.],
Learning Big (Image) Data via Coresets for Dictionaries,
JMIV(46), No. 3, July 2013, pp. 276-291.
WWW Link.
1306
BibRef
Earlier: A2, A1, A3:
From High Definition Image to Low Space Optimization,
SSVM11(459-470).
Springer DOI
1201
Dictionary learning.
BibRef
Sahoo, S.K.,
Makur, A.,
Dictionary Training for Sparse Representation as Generalization
of K-Means Clustering,
SPLetters(20), No. 6, 2013, pp. 587-590.
IEEE DOI
1307
K-means clustering; K-SVD;
BibRef
Sadeghi, M.,
Babaie-Zadeh, M.,
Jutten, C.,
Dictionary Learning for Sparse Representation: A Novel Approach,
SPLetters(20), No. 12, 2013, pp. 1195-1198.
IEEE DOI
1311
dictionaries
BibRef
Jiang, Z.L.[Zhuo-Lin],
Lin, Z.[Zhe],
Davis, L.S.[Larry S.],
Label Consistent K-SVD:
Learning a Discriminative Dictionary for Recognition,
PAMI(35), No. 11, 2013, pp. 2651-2664.
IEEE DOI
1309
Discriminative dictionary learning
BibRef
Zhou, Y.[Yin],
Barner, K.E.,
Locality Constrained Dictionary Learning for Nonlinear Dimensionality
Reduction,
SPLetters(20), No. 4, April 2013, pp. 335-338.
IEEE DOI
1303
BibRef
Feng, Z.Z.[Zhi-Zhao],
Yang, M.[Meng],
Zhang, L.[Lei],
Liu, Y.[Yan],
Zhang, D.[David],
Joint Discriminative Dimensionality Reduction and Dictionary Learning
for Face Recognition,
PR(46), No. 8, August 2013, pp. 2134-2143.
Elsevier DOI
1304
Dictionary learning; Face recognition; Dimensionality reduction;
Collaborative representation
BibRef
Yang, M.[Meng],
Feng, Z.Z.[Zhi-Zhao],
Shiu, S.C.K.[Simon C.K.],
Zhang, L.[Lei],
Fast and robust face recognition via coding residual map learning
based adaptive masking,
PR(47), No. 2, 2014, pp. 535-543.
Elsevier DOI
1311
Robust face recognition
See also Gabor Feature Based Robust Representation and Classification for Face Recognition with Gabor Occlusion Dictionary.
BibRef
Li, P.,
Zeng, H.,
Wang, Q.,
Shiu, S.C.K.[Simon Chi-Keung],
Zhang, L.[Lei],
High-Order Local Pooling and Encoding Gaussians Over a Dictionary of
Gaussians,
IP(26), No. 7, July 2017, pp. 3372-3384.
IEEE DOI
1706
Covariance matrices, Dictionaries, Encoding, Feature extraction,
Image coding, Kernel, Manifolds, Image classification,
high-order local pooling (HO-LP), manifold of Gaussians
BibRef
Cao, X.C.[Xiao-Chun],
Wei, X.X.[Xing-Xing],
Han, Y.H.[Ya-Hong],
Yang, Y.[Yi],
Sebe, N.[Nicu],
Hauptmann, A.G.[Alexander G.],
Unified Dictionary Learning and Region Tagging with Hierarchical Sparse
Representation,
CVIU(117), No. 8, August 2013, pp. 934-946.
Elsevier DOI
1306
Image patterns at different levels.
Sparse coding; Region tagging; Sparse reconstruction; Unified
hierarchical structure; Tree-guided dictionary learning
BibRef
Yang, Y.[Yi],
Ma, Z.G.[Zhi-Gang],
Nie, F.P.[Fei-Ping],
Chang, X.J.[Xiao-Jun],
Hauptmann, A.G.[Alexander G.],
Multi-Class Active Learning by Uncertainty Sampling with Diversity
Maximization,
IJCV(113), No. 2, June 2015, pp. 113-127.
Springer DOI
1506
BibRef
Liang, J.,
Zhang, M.,
Zeng, X.,
Yu, G.,
Distributed Dictionary Learning for Sparse Representation in Sensor
Networks,
IP(23), No. 6, June 2014, pp. 2528-2541.
IEEE DOI
1406
Clustering algorithms
BibRef
Rusu, C.,
Dumitrescu, B.,
Tsaftaris, S.A.,
Explicit Shift-Invariant Dictionary Learning,
SPLetters(21), No. 1, January 2014, pp. 6-9.
IEEE DOI
1402
learning (artificial intelligence)
BibRef
Soltani-Farani, A.,
Rabiee, H.R.[Hamid R.],
Hosseini, S.A.,
Spatial-Aware Dictionary Learning for Hyperspectral Image
Classification,
GeoRS(53), No. 1, January 2015, pp. 527-541.
IEEE DOI
1410
geophysical image processing
BibRef
Tillmann, A.M.,
On the Computational Intractability of Exact and Approximate
Dictionary Learning,
SPLetters(22), No. 1, January 2015, pp. 45-49.
IEEE DOI
1410
approximation theory
BibRef
Abrol, V.[Vinayak],
Sharma, P.[Pulkit],
Sao, A.K.[Anil Kumar],
Greedy dictionary learning for kernel sparse representation based
classifier,
PRL(78), No. 1, 2016, pp. 64-69.
Elsevier DOI
1606
Classification
BibRef
Wang, Y.[Yi],
Li, B.[Bin],
Wang, Y.[Yang],
Chen, F.[Fang],
Zhang, B.[Bang],
Li, Z.D.[Zhi-Dong],
Robust Bayesian non-parametric dictionary learning with heterogeneous
Gaussian noise,
CVIU(150), No. 1, 2016, pp. 31-43.
Elsevier DOI
1608
Heterogeneous noise
BibRef
Wang, Q.L.[Qi-Long],
Li, P.H.[Pei-Hua],
Zhang, L.[Lei],
Zuo, W.M.[Wang-Meng],
Towards effective codebookless model for image classification,
PR(59), No. 1, 2016, pp. 63-71.
Elsevier DOI
1609
Codebookless model
BibRef
Wang, Q.L.[Qi-Long],
Deng, X.N.[Xiao-Na],
Li, P.H.[Pei-Hua],
Zhang, L.[Lei],
Ask the dictionary:
Soft-assignment location-orientation pooling for image classification,
ICIP15(4570-4574)
IEEE DOI
1512
Bag-of-visual words
BibRef
Liu, G.C.[Guang-Can],
Liu, Q.S.[Qing-Shan],
Li, P.[Ping],
Blessing of Dimensionality: Recovering Mixture Data via Dictionary
Pursuit,
PAMI(39), No. 1, January 2017, pp. 47-60.
IEEE DOI
1612
Recovering the authentic samples that lie on a union of multiple
subspaces from their corrupted observations.
Coherence
BibRef
Yang, J.[Jimei],
Yang, M.H.[Ming-Hsuan],
Top-Down Visual Saliency via Joint CRF and Dictionary Learning,
PAMI(39), No. 3, March 2017, pp. 576-588.
IEEE DOI
1702
BibRef
Earlier:
CVPR12(2296-2303).
IEEE DOI
1208
Computational modeling
BibRef
Kim, S.,
Cai, R.,
Park, K.,
Kim, S.,
Sohn, K.,
Modality-Invariant Image Classification Based on Modality Uniqueness
and Dictionary Learning,
IP(26), No. 2, February 2017, pp. 884-899.
IEEE DOI
1702
image classification
BibRef
Zhou, P.,
Zhang, C.,
Lin, Z.,
Bilevel Model-Based Discriminative Dictionary Learning for
Recognition,
IP(26), No. 3, March 2017, pp. 1173-1187.
IEEE DOI
1703
learning (artificial intelligence)
BibRef
Liu, L.[Lina],
Ma, S.W.[Shi-Wei],
Rui, L.[Ling],
Lu, J.[Jian],
Locality constrained dictionary learning for non-linear dimensionality
reduction and classification,
IET-CV(11), No. 1, February 2017, pp. 60-67.
DOI Link
1703
BibRef
Wang, X.,
Gu, Y.,
Cross-Label Suppression: A Discriminative and Fast Dictionary
Learning With Group Regularization,
IP(26), No. 8, August 2017, pp. 3859-3873.
IEEE DOI
1707
computational complexity, face recognition, image classification,
image coding, image representation, image texture,
computational efficiency, cross-label suppression,
dictionary learning, face recognition, group regularization,
image classification, image coding, image representations,
object categorization, scene classification,
sport action categorization, texture recognition, Dictionaries,
Face recognition, Feature extraction, Image coding,
Image reconstruction, Laplace equations, Training,
Discriminative dictionary learning, cross-label suppression,
group regularization, image classification, supervised, learning
BibRef
Wang, Z.J.[Zheng-Jue],
Wang, Y.H.[Ying-Hua],
Liu, H.W.[Hong-Wei],
Zhang, H.[Hao],
Structured Kernel Dictionary Learning With Correlation Constraint for
Object Recognition,
IP(26), No. 9, September 2017, pp. 4578-4590.
IEEE DOI
1708
image classification, learning (artificial intelligence),
matrix algebra, object recognition, optimisation,
support vector machines, classification mechanism analysis,
correlation constrained structured kernel, dictionary learning,
kernel matrix embedded, linear SVM classifier,
object recognition, structured kernel KSVD,
structured kernel dictionary,
structured kernel dictionary learning,
synthetic aperture radar vehicle target recognition,
Correlation, Dictionaries, Image reconstruction, Kernel,
Linear programming, Object recognition, Support vector machines,
Correlation constraint, KSVD, discriminative code, kernel method,
non-linear, dictionary learning
BibRef
Rong, Y.[Yi],
Xiong, S.W.[Sheng-Wu],
Gao, Y.S.[Yong-Sheng],
Low-rank double dictionary learning from corrupted data for robust
image classification,
PR(72), No. 1, 2017, pp. 419-432.
Elsevier DOI
1708
BibRef
Earlier:
Robust Image Classification via Low-Rank Double Dictionary Learning,
MMMod17(I: 316-328).
Springer DOI
1701
Low-rank, dictionary, learning
BibRef
Rong, Y.[Yi],
Xiong, S.W.[Sheng-Wu],
Gao, Y.S.[Yong-Sheng],
Double Graph Regularized Double Dictionary Learning for Image
Classification,
IP(29), 2020, pp. 7707-7721.
IEEE DOI
2007
Class-specific information, class-shared information,
double graph regularization, double dictionary learning,
similarity preserving
BibRef
Vu, T.H.,
Monga, V.,
Fast Low-Rank Shared Dictionary Learning for Image Classification,
IP(26), No. 11, November 2017, pp. 5160-5175.
IEEE DOI
1709
BibRef
Earlier:
Learning a low-rank shared dictionary for object classification,
ICIP16(4428-4432)
IEEE DOI
1610
image classification,
Fisher discrimination dictionary learning,
fast low-rank shared dictionary learning, image classification,
image data sets, Algorithm design and analysis,
Complexity theory, Dictionaries, Image processing,
Learning systems, Sparse matrices, Training, Sparse coding,
dictionary learning, low-rank models, object classification,
shared features
BibRef
Zhang, G.,
Sun, H.,
Porikli, F.M.[Fatih M.],
Liu, Y.,
Sun, Q.,
Optimal Couple Projections for Domain Adaptive Sparse
Representation-Based Classification,
IP(26), No. 12, December 2017, pp. 5922-5935.
IEEE DOI
1710
Dictionaries, Image reconstruction,
Sparse matrices, Dictionary learning,
domain adaptation,
BibRef
Zhang, G.,
Sun, H.,
Zheng, Y.,
Xia, G.,
Feng, L.,
Sun, Q.,
Optimal Discriminative Projection for Sparse Representation-Based
Classification via Bilevel Optimization,
CirSysVideo(30), No. 4, April 2020, pp. 1065-1077.
IEEE DOI
2004
Optimization, Sparse matrices, Training, Feature extraction,
Dimensionality reduction, Linear programming, Sun,
dictionary learning
BibRef
Wang, J.,
Guo, Y.,
Guo, J.,
Luo, X.,
Kong, X.,
Class-Aware Analysis Dictionary Learning for Pattern Classification,
SPLetters(24), No. 12, December 2017, pp. 1822-1826.
IEEE DOI
1712
image classification, image coding, iterative methods,
matrix algebra, minimisation, CADL model,
max-margin
BibRef
Hu, J.L.[Jun-Lin],
Tan, Y.P.[Yap-Peng],
Nonlinear dictionary learning with application to image
classification,
PR(75), No. 1, 2018, pp. 282-291.
Elsevier DOI
1712
Nonlinear dictionary learning
BibRef
Chun, I.Y.,
Fessler, J.A.,
Convolutional Dictionary Learning: Acceleration and Convergence,
IP(27), No. 4, April 2018, pp. 1697-1712.
IEEE DOI
1802
AWGN, convex programming, convolution, gradient methods,
image denoising, image reconstruction,
majorization matrix design
BibRef
Shu, X.B.[Xiang-Bo],
Tang, J.H.[Jin-Hui],
Qi, G.J.[Guo-Jun],
Li, Z.C.[Ze-Chao],
Jiang, Y.G.[Yu-Gang],
Yan, S.C.[Shui-Cheng],
Image Classification With Tailored Fine-Grained Dictionaries,
CirSysVideo(28), No. 2, February 2018, pp. 454-467.
IEEE DOI
1802
Computer science, Dictionaries, Image reconstruction,
Learning systems, Optimization, Sparse matrices, Training,
universal dictionary (UD)
BibRef
Su, H.J.[Hong-Jun],
Zhao, B.[Bo],
Du, Q.[Qian],
Du, P.J.[Pei-Jun],
Xue, Z.H.[Zhao-Hui],
Multifeature Dictionary Learning for Collaborative Representation
Classification of Hyperspectral Imagery,
GeoRS(56), No. 4, April 2018, pp. 2467-2484.
IEEE DOI
1804
Collaboration, Dictionaries, Hyperspectral imaging,
Machine learning, Shape, Training,
multifeature learning
BibRef
Li, W.[Wei],
Zhang, Y.X.[Yu-Xiang],
Liu, N.[Na],
Du, Q.[Qian],
Tao, R.[Ran],
Structure-Aware Collaborative Representation for Hyperspectral Image
Classification,
GeoRS(57), No. 9, September 2019, pp. 7246-7261.
IEEE DOI
1909
Training, Testing, Hyperspectral imaging, Cathode ray tubes,
Sparse matrices, Image reconstruction, Hyperspectral image,
Tikhonov regularization
BibRef
Su, H.J.[Hong-Jun],
Yu, Y.,
Du, Q.[Qian],
Du, P.J.[Pei-Jun],
Ensemble Learning for Hyperspectral Image Classification Using
Tangent Collaborative Representation,
GeoRS(58), No. 6, June 2020, pp. 3778-3790.
IEEE DOI
2005
Bagging, boosting, ensemble learning, hyperspectral imagery,
tangent space collaborative representation
BibRef
Su, H.J.[Hong-Jun],
Zhao, B.[Bo],
Du, Q.[Qian],
Du, P.J.[Pei-Jun],
Kernel Collaborative Representation With Local Correlation Features
for Hyperspectral Image Classification,
GeoRS(57), No. 2, February 2019, pp. 1230-1241.
IEEE DOI
1901
Correlation, Kernel, Training, Collaboration, Testing,
Hyperspectral imaging,
spatial correlation feature
BibRef
Du, P.J.[Pei-Jun],
Gan, L.[Le],
Xia, J.S.[Jun-Shi],
Wang, D.M.[Da-Ming],
Multikernel Adaptive Collaborative Representation for Hyperspectral
Image Classification,
GeoRS(56), No. 8, August 2018, pp. 4664-4677.
IEEE DOI
1808
geophysical image processing, image classification,
image representation, learning (artificial intelligence),
multiple kernel learning (MKL)
BibRef
Liu, Z.[Zhou],
Yu, L.[Lei],
Sun, H.[Hong],
Image restoration via Bayesian dictionary learning with nonlocal
structured beta process,
JVCIR(52), 2018, pp. 159-169.
Elsevier DOI
1804
Nonparametric Bayesian, Beta process, Image restoration,
Nonlocal structure prior, Dictionary learning
BibRef
Wang, S.,
Wang, M.,
Yang, S.,
Zhang, K.,
Salient Region Detection via Discriminative Dictionary Learning and
Joint Bayesian Inference,
CirSysVideo(28), No. 5, May 2018, pp. 1116-1129.
IEEE DOI
1805
Bayes methods, Computational modeling, Dictionaries,
Image color analysis, Probabilistic logic, Reliability,
visual saliency modeling
BibRef
Zhan, Y.J.[Yun-Jun],
Dai, T.[Tengda],
Huang, J.J.[Jie-Jun],
Dong, Y.S.[Yu-Sen],
Ye, F.W.[Fa-Wang],
Tang, C.[Cong],
Double iterative optimal dictionary learning-based SAR image filtering
method,
SIViP(12), No. 4, May 2018, pp. 783-790.
Springer DOI
1805
BibRef
Liu, J.,
Garcia-Cardona, C.,
Wohlberg, B.,
Yin, W.,
First- and Second-Order Methods for Online Convolutional Dictionary
Learning,
SIIMS(11), No. 2, 2018, pp. 1589-1628.
DOI Link
1807
BibRef
Wang, Y.,
Yao, Q.M.[Quan-Ming],
Kwok, J.T.[James T.],
Ni, L.M.,
Scalable Online Convolutional Sparse Coding,
IP(27), No. 10, October 2018, pp. 4850-4859.
IEEE DOI
1808
convolution, frequency-domain analysis,
learning (artificial intelligence), matrix algebra, optimisation,
dictionary learning
BibRef
Yao, Q.M.[Quan-Ming],
Kwok, J.T.[James T.],
Wang, T.F.[Tai-Feng],
Liu, T.Y.[Tie-Yan],
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers,
PAMI(41), No. 11, November 2019, pp. 2628-2643.
IEEE DOI
1910
Acceleration, Sparse matrices, Optimization,
Approximation algorithms, Robustness, Convergence,
matrix completion
BibRef
Fakhar, B.[Babak],
Kanan, H.R.[Hamidreza Rashidy],
Behrad, A.[Alireza],
Learning an event-oriented and discriminative dictionary based on an
adaptive label-consistent K-SVD method for event detection in soccer
videos,
JVCIR(55), 2018, pp. 489-503.
Elsevier DOI
1809
Soccer videos, Event detection, Sparse coding,
Supervised dictionary learning, Adaptive discriminative dictionary learning
BibRef
Saragadam, V.,
Li, X.,
Sankaranarayanan, A.C.,
Cross-Scale Predictive Dictionaries,
IP(28), No. 2, February 2019, pp. 803-814.
IEEE DOI
1811
approximation theory, image representation, inverse problems,
cross-scale predictive dictionaries, sparse representation,
multiscale modeling
BibRef
Anselmi, F.[Fabio],
Evangelopoulos, G.[Georgios],
Rosasco, L.[Lorenzo],
Poggio, T.[Tomaso],
Symmetry-adapted representation learning,
PR(86), 2019, pp. 201-208.
Elsevier DOI
1811
Representation learning, Equivariant representations,
Invariant representations, Dictionary learning,
Data transformations
BibRef
Zhang, T.[Tong],
Porikli, F.M.[Fatih M.],
Cascade residuals guided nonlinear dictionary learning,
CVIU(173), 2018, pp. 86-97.
Elsevier DOI
1901
BibRef
Earlier:
Sparse Coding on Cascaded Residuals,
ACCV16(IV: 19-34).
Springer DOI
1704
Award, ACCV. Sparse coding, Dictionary learning
combine dictionary learning and hierarchical image representation.
BibRef
Xie, Y.[Yurui],
Porikli, F.M.[Fatih M.],
He, X.M.[Xu-Ming],
Object-Aware Dictionary Learning with Deep Features,
ACCV16(II: 237-253).
Springer DOI
1704
BibRef
Liu, B.D.[Bao-Di],
Xie, W.Y.[Wen-Yang],
Meng, J.[Jie],
Li, Y.[Ye],
Wang, Y.J.[Yan-Jiang],
Hybrid Collaborative Representation for Remote-Sensing Image Scene
Classification,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Liu, B.D.[Bao-Di],
Meng, J.[Jie],
Xie, W.Y.[Wen-Yang],
Shao, S.[Shuai],
Li, Y.[Ye],
Wang, Y.J.[Yan-Jiang],
Weighted Spatial Pyramid Matching Collaborative Representation for
Remote-Sensing-Image Scene Classification,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Wei, W.[Wei],
Ma, M.T.[Meng-Ting],
Wang, C.[Cong],
Zhang, L.[Lei],
Zhang, P.[Peng],
Zhang, Y.N.[Yan-Ning],
A Novel Analysis Dictionary Learning Model Based Hyperspectral Image
Classification Method,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Wu, F.[Fei],
Dong, X.[Xiwei],
Han, L.[Lu],
Jing, X.Y.[Xiao-Yuan],
Ji, Y.M.[Yi-Mu],
Multi-View Synthesis and Analysis Dictionaries Learning for
Classification,
IEICE(E102-D), No. 3, March 2019, pp. 659-662.
WWW Link.
1904
BibRef
Song, J.Q.[Jian-Qiang],
Xie, X.M.[Xue-Mei],
Shi, G.M.[Guang-Ming],
Dong, W.S.[Wei-Sheng],
Multi-layer discriminative dictionary learning with locality
constraint for image classification,
PR(91), 2019, pp. 135-146.
Elsevier DOI
1904
Multi-layer discriminative dictionary learning,
Locality constraint, Classifier training, Image classification
BibRef
Sun, Y.L.[Yu-Lin],
Shi, G.M.[Guang-Ming],
Dong, W.S.[Wei-Sheng],
Xie, X.M.[Xue-Mei],
MADPL-net: Multi-layer attention dictionary pair learning network for
image classification,
JVCIR(90), 2023, pp. 103728.
Elsevier DOI
2301
Multi-layer dictionary learning,
Attention dictionary pair learning, Deep encoder, Image classification
BibRef
Peng, G.,
Adaptive ADMM for Dictionary Learning in Convolutional Sparse
Representation,
IP(28), No. 7, July 2019, pp. 3408-3422.
IEEE DOI
1906
image representation, learning (artificial intelligence),
numerical analysis, adaptive ADMM,
non-convex and non-smooth optimization
alternating direction method of multipliers (ADMM)
BibRef
Tang, H.Z.[Hong-Zhong],
Li, X.[Xiao],
Zhang, X.G.[Xiao-Gang],
Zhang, D.B.[Dong-Bo],
Mao, L.Z.[Li-Zhen],
Liu, T.[Ting],
Coherence-regularized discriminative dictionary learning for
histopathological image classification,
SIViP(13), No. 5, July 2019, pp. 923-931.
Springer DOI
1906
BibRef
Shang, F.[Fei],
Zhang, H.X.[Hua-Xiang],
Sun, J.[Jiande],
Liu, L.[Li],
Semantic consistency cross-modal dictionary learning with rank
constraint,
JVCIR(62), 2019, pp. 259-266.
Elsevier DOI
1908
Cross-modal retrieval, Dictionary learning, Rank constraint
BibRef
Song, X.R.[Xiao-Rui],
Wu, L.[Lingda],
A Novel Hyperspectral Endmember Extraction Algorithm Based on Online
Robust Dictionary Learning,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Mahdizadehaghdam, S.,
Panahi, A.,
Krim, H.,
Dai, L.,
Deep Dictionary Learning: A PARametric NETwork Approach,
IP(28), No. 10, October 2019, pp. 4790-4802.
IEEE DOI
1909
feature extraction, image classification, image reconstruction,
learning (artificial intelligence), deep dictionary learning,
sparse representation
BibRef
Iqbal, A.,
Seghouane, A.,
An alpha-Divergence-Based Approach for Robust Dictionary Learning,
IP(28), No. 11, November 2019, pp. 5729-5739.
IEEE DOI
1909
Dictionaries, Approximation algorithms, Sparse matrices,
Machine learning, Maximum likelihood estimation,
robust estimation
BibRef
Miao, J.Q.[Jia-Qing],
Zhou, X.B.[Xiao-Bing],
Huang, T.Z.[Ting-Zhu],
Zhang, T.B.[Ting-Bing],
Zhou, Z.M.[Zhao-Ming],
A Novel Inpainting Algorithm for Recovering Landsat-7 ETM+ SLC-OFF
Images Based on the Low-Rank Approximate Regularization Method of
Dictionary Learning With Nonlocal and Nonconvex Models,
GeoRS(57), No. 9, September 2019, pp. 6741-6754.
IEEE DOI
1909
Earth, Artificial satellites, Remote sensing, Dictionaries, Strips,
Image restoration, Approximation algorithms, Dynamic dictionary,
nonlocal
BibRef
Zheng, Y.,
Wang, X.,
Zhang, G.,
Xiao, B.,
Xiao, F.,
Zhang, J.,
Multi-Kernel Coupled Projections for Domain Adaptive Dictionary
Learning,
MultMed(21), No. 9, September 2019, pp. 2292-2304.
IEEE DOI
1909
Kernel, Dictionaries, Training, Task analysis, Machine learning,
Training data, Information science, Dictionary learning,
domain adaptation
BibRef
Tang, W.,
Panahi, A.,
Krim, H.,
Dai, L.,
Analysis Dictionary Learning Based Classification:
Structure for Robustness,
IP(28), No. 12, December 2019, pp. 6035-6046.
IEEE DOI
1909
Dictionaries, Machine learning, Sparse matrices, Task analysis,
Image coding, Optimization, Training,
supervised learning
BibRef
Veshki, F.G.,
Vorobyov, S.A.,
An Efficient Coupled Dictionary Learning Method,
SPLetters(26), No. 10, October 2019, pp. 1441-1445.
IEEE DOI
1909
compressed sensing, feature extraction, signal reconstruction,
signal representation, sparse representation-based recognition,
sparse representation
BibRef
Ferraris, V.[Vinicius],
Dobigeon, N.[Nicolas],
Cavalcanti, Y.[Yanna],
Oberlin, T.[Thomas],
Chabert, M.[Marie],
Coupled dictionary learning for unsupervised change detection between
multimodal remote sensing images,
CVIU(189), 2019, pp. 102817.
Elsevier DOI
1911
Change detection, Coupled dictionary learning, Multimodality,
Optical images, SAR image
BibRef
Xu, Y.[Yong],
Li, Z.M.[Zheng-Ming],
Tian, C.W.[Chun-Wei],
Yang, J.[Jian],
Multiple vector representations of images and robust dictionary
learning,
PRL(128), 2019, pp. 131-136.
Elsevier DOI
1912
Multiple vector representations, Dictionary learning, Image recognition
BibRef
Fan, C.D.[Chang-De],
Hu, C.H.[Chun-Hai],
Liu, B.[Bin],
Linearized kernel dictionary learning with group sparse priors for
action recognition,
VC(35), No. 12, December 2018, pp. 1797-1807.
WWW Link.
1912
BibRef
Schwab, E.[Evan],
Haeffele, B.D.[Benjamin D.],
Vidal, R.[René],
Charon, N.[Nicolas],
Global Optimality in Separable Dictionary Learning with Applications
to the Analysis of Diffusion MRI,
SIIMS(12), No. 4, 2019, pp. 1967-2008.
DOI Link
1912
BibRef
Tim, S.C.W.[Stefen Chan Wai],
Rombaut, M.[Michele],
Pellerin, D.[Denis],
Dutt, A.[Anuvabh],
Descriptor extraction based on a multilayer dictionary architecture
for classification of natural images,
CVIU(191), 2020, pp. 102708.
Elsevier DOI
2002
BibRef
Earlier: A1, A2, A3, Only:
Multi-layer Dictionary Learning for Image Classification,
ACIVS16(522-533).
Springer DOI
1611
Supervised dictionary learning, Sparse coding, Classification
BibRef
Wang, X.,
Li, Y.,
You, S.,
Li, H.,
Wang, S.,
Unidirectional Representation-Based Efficient Dictionary Learning,
CirSysVideo(30), No. 1, January 2020, pp. 59-74.
IEEE DOI
2002
face recognition, image classification, image representation,
pattern classification, complex learning frameworks,
image classification
BibRef
Ren, J.,
Zhang, Z.,
Li, S.,
Wang, Y.,
Liu, G.,
Yan, S.,
Wang, M.,
Learning Hybrid Representation by Robust Dictionary Learning in
Factorized Compressed Space,
IP(29), 2020, pp. 3941-3956.
IEEE DOI
2002
Hybrid salient representation, robust factorized compression,
robust projective dictionary learning, classification
BibRef
Peng, Y.[Yali],
Li, L.J.[Ling-Jun],
Liu, S.G.[Shi-Gang],
Wang, X.[Xili],
Li, J.[Jun],
Weighted constraint based dictionary learning for image
classification,
PRL(130), 2020, pp. 99-106.
Elsevier DOI
2002
Image classification, Sparse representation,
Dictionary learning, Discrimination performance
BibRef
Song, A.[Anna],
Uhlmann, V.[Virginie],
Fageot, J.[Julien],
Unser, M.[Michael],
Dictionary Learning for Two-Dimensional Kendall Shapes,
SIIMS(13), No. 1, 2020, pp. 141-175.
DOI Link
2004
BibRef
Singhal, V.[Vanika],
Majumdar, A.[Angshul],
A domain adaptation approach to solve inverse problems in imaging via
coupled deep dictionary learning,
PR(100), 2020, pp. 107163.
Elsevier DOI
2005
Dictionary learning, Deep learning, Domain adaptation, Inverse problems
BibRef
Ling, J.,
Chen, Z.,
Wu, F.,
Class-Oriented Discriminative Dictionary Learning for Image
Classification,
CirSysVideo(30), No. 7, July 2020, pp. 2155-2166.
IEEE DOI
2007
Dictionaries, Machine learning, Training, Optimization,
Task analysis, Linear programming, Image reconstruction,
image classification
BibRef
Tran, K.H.,
Mboula, F.M.N.[F. M. Ngolè],
Starck, J.L.,
Prost, V.,
Semisupervised Dictionary Learning with Graph Regularized and Active
Points,
SIIMS(13), No. 2, 2020, pp. 724-745.
DOI Link
2007
BibRef
Ataee, Z.[Zivar],
Mohseni, H.[Hadis],
Structured dictionary learning using mixed-norms and group-sparsity
constraint,
VC(36), No. 8, August 2020, pp. 1679-1692.
WWW Link.
2007
BibRef
Bueno, A.A.,
Silva, M.T.M.,
Gram-Schmidt-Based Sparsification for Kernel Dictionary,
SPLetters(27), 2020, pp. 1130-1134.
IEEE DOI
2007
Kernel-based-methods, dictionary sparsification,
adaptive filtering, nonlinear signal processing
BibRef
Zhang, Z.,
Ren, J.,
Jiang, W.,
Zhang, Z.,
Hong, R.,
Yan, S.,
Wang, M.,
Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible
Discriminative Dictionary Learning,
CirSysVideo(30), No. 8, August 2020, pp. 2430-2446.
IEEE DOI
2008
Dictionaries, Sparse matrices, Machine learning, Data models,
Manifolds, Laplace equations, Atomic measurements,
classification
BibRef
Han, N.,
Wu, J.,
Fang, X.,
Teng, S.,
Zhou, G.,
Xie, S.,
Li, X.,
Projective Double Reconstructions Based Dictionary Learning Algorithm
for Cross-Domain Recognition,
IP(29), 2020, pp. 9220-9233.
IEEE DOI
2010
Dictionaries, Machine learning, Image reconstruction, Image coding,
Optimization, Training data, Dictionary learning,
cross-domain recognition
BibRef
Abdi, A.[Arash],
Rahmati, M.[Mohammad],
Ebadzadeh, M.M.[Mohammad M.],
Entropy based dictionary learning for image classification,
PR(110), 2021, pp. 107634.
Elsevier DOI
2011
Discriminative dictionary learning, Entropy,
Entropy based dictionary learning, Image classification,
Supervised dictionary learning
BibRef
Yang, B.Q.[Bao-Qing],
Guan, X.P.[Xin-Ping],
Zhu, J.W.[Jun-Wu],
Gu, C.C.[Chao-Chen],
Wu, K.J.[Kai-Jie],
Xu, J.J.[Jia-Jie],
SVMs multi-class loss feedback based discriminative dictionary
learning for image classification,
PR(112), 2021, pp. 107690.
Elsevier DOI
2102
Dictionary learning, Feature representation, Feature learning,
Feedback learning, Image classification
BibRef
Li, Y.X.[Yan-Xia],
Chai, Y.[Yi],
Zhou, H.[Han],
Yin, H.P.[Hong-Peng],
A novel dimension reduction and dictionary learning framework for
high-dimensional data classification,
PR(112), 2021, pp. 107793.
Elsevier DOI
2102
High-dimensional data classification, Dimension reduction,
Dictionary learning, Autoencoder
BibRef
Lv, S.L.[Shi-Lin],
Liang, J.Z.[Jiu-Zhen],
Di, L.[Lan],
Xia, Y.F.[Yun-Fei],
Hou, Z.J.[Zhen-Jie],
A probabilistic collaborative dictionary learning-based approach for
face recognition,
IET-IPR(15), No. 4, 2021, pp. 868-884.
DOI Link
2106
BibRef
Wang, L.C.[Li-Chun],
Li, S.[Shuang],
Wang, S.F.[Shao-Fan],
Kong, D.[Dehui],
Yin, B.C.[Bao-Cai],
Hardness-Aware Dictionary Learning:
Boosting Dictionary for Recognition,
MultMed(23), 2021, pp. 2857-2867.
IEEE DOI
2109
Dictionaries, Training, Boosting, Task analysis, Face recognition,
Visualization, Sparse representation, classification, AdaBoost,
dictionary learning
BibRef
Zamani, F.[Fatemeh],
Jamzad, M.[Mansour],
Rabiee, H.R.[Hamid R.],
Atom specific multiple kernel dictionary based Sparse Representation
Classifier for medium scale image classification,
JVCIR(79), 2021, pp. 103228.
Elsevier DOI
2109
Sparse Representation Classifier, Multiple Kernel Learning,
Kernel local weighting, Dictionary learning, Image classification
BibRef
Gao, F.Y.[Fang-Yuan],
Deng, X.[Xin],
Xu, M.[Mai],
Xu, J.Y.[Jing-Yi],
Dragotti, P.L.[Pier Luigi],
Multi-Modal Convolutional Dictionary Learning,
IP(31), 2022, pp. 1325-1339.
IEEE DOI
2202
Dictionaries, Training, Memory management, Noise level,
Toy manufacturing industry, Standards, Paints, image denoising
BibRef
Deng, X.[Xin],
Xu, J.Y.[Jing-Yi],
Gao, F.Y.[Fang-Yuan],
Sun, X.C.[Xian-Cheng],
Xu, M.[Mai],
DeepM^2CDL: Deep Multi-Scale Multi-Modal Convolutional Dictionary
Learning Network,
PAMI(46), No. 5, May 2024, pp. 2770-2787.
IEEE DOI
2404
Machine learning, Dictionaries, Task analysis, Convolutional codes,
Image restoration, Convolution, Iterative methods,
multi-modal image processing
BibRef
Song, A.H.[Andrew H.],
Tolooshams, B.[Bahareh],
Ba, D.[Demba],
Gaussian Process Convolutional Dictionary Learning,
SPLetters(29), 2022, pp. 95-99.
IEEE DOI
2202
Dictionaries, Kernel, Convolution, Signal to noise ratio,
Machine learning, Gaussian processes, smoothness
BibRef
Moreau, T.[Thomas],
Gramfort, A.[Alexandre],
DiCoDiLe: Distributed Convolutional Dictionary Learning,
PAMI(44), No. 5, May 2022, pp. 2426-2437.
IEEE DOI
2204
Convolution, Dictionaries, Machine learning, Convolutional codes,
Complexity theory, Data models, Computational modeling,
coordinate descent
BibRef
Huang, J.[Ju],
Liu, K.[Kang],
Li, X.L.[Xue-Long],
Locality Constrained Low Rank Representation and Automatic Dictionary
Learning for Hyperspectral Anomaly Detection,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link
2204
BibRef
Luo, H.[Hao],
Zhang, K.B.[Kai-Bing],
Luo, S.[Shuang],
Li, J.[Jie],
Gao, X.B.[Xin-Bo],
Locality-Adaptive Structured Dictionary Learning for Cross-Domain
Recognition,
CirSysVideo(32), No. 4, April 2022, pp. 2425-2440.
IEEE DOI
2204
Dictionaries, Image reconstruction, Task analysis,
Machine learning, Training, Technological innovation, Manifolds,
reconstruction error
BibRef
Pali, M.C.[Marie-Christine],
Ruetz, S.[Simon],
Schnass, K.[Karin],
Average Performance of OMP and Thresholding Under Dictionary Mismatch,
SPLetters(29), 2022, pp. 1077-1081.
IEEE DOI
2205
Dictionaries, Matching pursuit algorithms,
Signal processing algorithms, Perturbation methods, thresholding
BibRef
Wang, W.Z.[Wen-Zheng],
Han, Y.Q.[Yu-Qi],
Deng, C.W.[Chen-Wei],
Li, Z.[Zhen],
Hyperspectral Image Classification via Deep Structure Dictionary
Learning,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Charles, A.S.[Adam S.],
Cermak, N.[Nathan],
Affan, R.O.[Rifqi O.],
Scott, B.B.[Benjamin B.],
Schiller, J.[Jackie],
Mishne, G.[Gal],
GraFT: Graph Filtered Temporal Dictionary Learning for Functional
Neural Imaging,
IP(31), 2022, pp. 3509-3524.
IEEE DOI
2205
Imaging, Dictionaries, Machine learning, Shape, Neurons,
Optical imaging, Dictionary learning, sparse coding,
re-weighted L1
BibRef
Yao, Y.[Yuan],
Wang, M.[Mengbi],
Fan, G.H.[Gang-Hui],
Liu, W.[Wendi],
Ma, Y.[Yong],
Mei, X.G.[Xiao-Guang],
Dictionary Learning-Cooperated Matrix Decomposition for Hyperspectral
Target Detection,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Liu, F.S.[Feng-Shuang],
Fu, J.[Jun],
Wang, Q.[Qiang],
Zhao, R.Q.[Rong-Qiang],
Tensor Dictionary Self-Taught Learning Classification Method for
Hyperspectral Image,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Gou, J.P.[Jian-Ping],
Yuan, X.[Xia],
Du, L.[Lan],
Xia, S.[Shuyin],
Yi, Z.[Zhang],
Hierarchical Graph Augmented Deep Collaborative Dictionary Learning
for Classification,
ITS(23), No. 12, December 2022, pp. 25308-25322.
IEEE DOI
2212
Dictionaries, Machine learning, Collaboration, Task analysis,
Encoding, Sparse matrices, Testing, Deep dictionary learning,
pattern classification
BibRef
Gou, J.P.[Jian-Ping],
He, X.[Xin],
Du, L.[Lan],
Yu, B.[Baosheng],
Chen, W.[Wenbai],
Yi, Z.[Zhang],
Hierarchical Locality-Aware Deep Dictionary Learning for
Classification,
MultMed(26), 2024, pp. 447-461.
IEEE DOI
2402
Machine learning, Dictionaries, Encoding, Task analysis,
Visualization, Feature extraction, Deep learning,
pattern recognition
BibRef
Rodríguez-Domínguez, U.[Ulises],
Dalmau, O.[Oscar],
Standard simplex induced clustering with hierarchical deep dictionary
learning,
SP:IC(112), 2023, pp. 116918.
Elsevier DOI
2302
Dictionary learning, Unsupervised learning, Image clustering, Neural network
BibRef
Ma, Y.T.[Yu-Teng],
Meng, J.M.[Jun-Min],
Liu, B.D.[Bao-Di],
Sun, L.[Lina],
Zhang, H.[Hao],
Ren, P.[Peng],
Dictionary Learning for Few-Shot Remote Sensing Scene Classification,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Gou, J.P.[Jian-Ping],
Yuan, X.[Xia],
Yu, B.[Baosheng],
Yu, J.L.[Jia-Li],
Yi, Z.[Zhang],
Intra- and Inter-Class Induced Discriminative Deep Dictionary
Learning for Visual Recognition,
MultMed(25), 2023, pp. 1575-1583.
IEEE DOI
2305
Machine learning, Dictionaries, Visualization, Training,
Task analysis, Testing, Optimization, Deep dictionary learning,
visual recognition
BibRef
Seghouane, A.K.[Abd-Krim],
Iqbal, A.[Asif],
Miri Rekavandi, A.[Aref],
RBDL: Robust block-Structured dictionary learning for block sparse
representation,
PRL(172), 2023, pp. 89-96.
Elsevier DOI
2309
Dictionary learning, Block sparse representation, Robust, Low-rank
BibRef
Seghouane, A.K.,
Robust Structured Dictionary Learning For Block Sparse
Representations Using a-Divergence,
ICIP20(843-847)
IEEE DOI
2011
Dictionaries, Machine learning, Robustness, Sparse matrices,
Approximation algorithms, Cost function, Encoding,
robust.
BibRef
Li, S.[Shuang],
Wang, L.C.[Li-Chun],
Wang, S.F.[Shao-Fan],
Kong, D.[Dehui],
Yin, B.C.[Bao-Cai],
Hierarchical Coupled Discriminative Dictionary Learning for Zero-Shot
Learning,
CirSysVideo(33), No. 9, September 2023, pp. 4973-4984.
IEEE DOI
2310
BibRef
Wang, J.J.[Jin-Jia],
Li, P.Y.[Peng-Yu],
Zhang, Y.[Yali],
Li, Z.[Ze],
Xu, J.[Jingchen],
Wang, Q.[Qian],
Li, J.[Jing],
Automatic calculation of step size and inertia parameter for
convolutional dictionary learning,
PR(152), 2024, pp. 110443.
Elsevier DOI
2405
Image reconstruction, Convolutional sparse representation,
Convolutional dictionary learning, Dry friction
BibRef
Xue, J.[Jize],
Zhao, Y.Q.[Yong-Qiang],
Wu, T.[Tongle],
Chan, J.C.W.[Jonathan Cheung-Wai],
Tensor Convolution-Like Low-Rank Dictionary for High-Dimensional
Image Representation,
CirSysVideo(34), No. 12, December 2024, pp. 13257-13270.
IEEE DOI
2501
Tensors, Convolutional codes, Image representation, Task analysis,
Optimization, Fast Fourier transforms, Dictionaries,
tensor recovery
BibRef
Jiang, L.[Lin],
Wu, J.G.[Ji-Gang],
Zhao, S.P.[Shu-Ping],
Li, J.X.[Jia-Xing],
Cross-Scatter Sparse Dictionary Pair Learning for Cross-Domain
Classification,
MultMed(27), 2025, pp. 371-384.
IEEE DOI
2501
Dictionaries, Encoding, Sparse matrices, Feature extraction,
Training, Transfer learning, Learning systems,
cross-domain classification
BibRef
Gkillas, A.,
Ampeliotis, D.,
Berberidis, K.,
Efficient Coupled Dictionary Learning And Sparse Coding For Noisy
Piecewise-Smooth Signals: Application To Hyperspectral Imaging,
ICIP20(231-235)
IEEE DOI
2011
Dictionaries, Encoding, Machine learning, Hyperspectral imaging,
Noise measurement, Sparse matrices, Cost function,
hyperspectral imaging
BibRef
Oktar, Y.,
Turkan, M.,
Classification Via Simplicial Learning,
ICIP20(2945-2949)
IEEE DOI
2011
Sparse representations, dictionary learning, machine learning,
simplicial, classification
BibRef
Genser, N.,
Seiler, J.,
Kaup, A.,
Joint Content-Adaptive Dictionary Learning And Sparse Selective
Extrapolation For Cross-Spectral Image Reconstruction,
ICIP20(988-992)
IEEE DOI
2011
Image reconstruction, Computer aided software engineering,
Dictionaries, Extrapolation, Machine learning, Correlation,
signal extrapolation
BibRef
He, K.M.[Kai-Ming],
Fan, H.Q.[Hao-Qi],
Wu, Y.X.[Yu-Xin],
Xie, S.N.[Sai-Ning],
Girshick, R.[Ross],
Momentum Contrast for Unsupervised Visual Representation Learning,
CVPR20(9726-9735)
IEEE DOI
2008
Dictionaries, Task analysis, Loss measurement,
Unsupervised learning, Buildings, Visualization, Training
BibRef
Watkins, Y.,
Kim, E.,
Sornborger, A.,
Kenyon, G.T.,
Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep
to Accomplish Stable Unsupervised Dictionary Learning in a
Spike-Based Sparse Coding Model,
WiCV20(1482-1487)
IEEE DOI
2008
Neurons, Machine learning, Gaussian noise, Encoding,
Computational modeling, Dictionaries, Neuromorphics
BibRef
Wang, W.W.[Wei-Wei],
Yang, C.Y.[Chun-Yu],
Li, Q.[Qiao],
Discriminative Analysis Dictionary and Classifier Learning for
Pattern Classification,
ICIP19(385-389)
IEEE DOI
1910
Discriminative analysis dictionary, classifier learning, sparse representation
BibRef
Apicella, A.,
Isgrò, F.,
Prevete, R.,
Tamburrini, G.,
Contrastive Explanations to Classification Systems Using Sparse
Dictionaries,
CIAP19(I:207-218).
Springer DOI
1909
BibRef
Luo, S.[Shengda],
Leung, A.P.[Alex Po],
Improved Dictionary Learning with Enriched Information for Biomedical
Images,
BioIm18(VI:375-384).
Springer DOI
1905
BibRef
Tang, H.,
Wei, H.,
Xiao, W.,
Wang, W.,
Xu, D.,
Yan, Y.,
Sebe, N.,
Deep Micro-Dictionary Learning and Coding Network,
WACV19(386-395)
IEEE DOI
1904
convolution, image representation,
learning (artificial intelligence),
Compounds
BibRef
Chen, Y.F.[Ye-Fei],
Su, J.B.[Jian-Bo],
Dict Layer: A Structured Dictionary Layer,
Biometrics18(535-53509)
IEEE DOI
1812
Dictionaries, Feature extraction, Training, Image reconstruction, Stacking
BibRef
Sun, Y.,
Zhang, Z.,
Jiang, W.,
Liu, G.,
Wang, M.,
Yan, S.,
Robust Discriminative Projective Dictionary Pair Learning by Adaptive
Representations,
ICPR18(621-626)
IEEE DOI
1812
Dictionaries, Encoding, Machine learning, Optimization,
Sparse matrices, Adaptation models, Training data,
image classification
BibRef
Selvaraju, R.R.[Ramprasaath R.],
Chattopadhyay, P.[Prithvijit],
Elhoseiny, M.[Mohamed],
Sharma, T.[Tilak],
Batra, D.[Dhruv],
Parikh, D.[Devi],
Lee, S.[Stefan],
Choose Your Neuron: Incorporating Domain Knowledge Through
Neuron-Importance,
ECCV18(XIII: 540-556).
Springer DOI
1810
BibRef
Mou, H.,
Barbu, A.,
Accurate Dictionary Learning with Direct Sparsity Control,
ICIP18(1842-1846)
IEEE DOI
1809
Dictionaries, Machine learning, Annealing, Image reconstruction,
Feature extraction, Encoding, Minimization, sparse coding,
LARS
BibRef
Silva, G.,
Rodriguez, P.,
Efficient Algorithm for Convolutional Dictionary Learning via
Accelerated Proximal Gradient Consensus,
ICIP18(3978-3982)
IEEE DOI
1809
Dictionaries, Frequency-domain analysis, Convolution, Training,
Discrete Fourier transforms, Machine learning,
APG
BibRef
Degraux, K.,
Kamilov, U.S.,
Boufounos, P.T.,
Liu, D.,
Online convolutional dictionary learning for multimodal imaging,
ICIP17(1617-1621)
IEEE DOI
1803
image reconstruction, image representation, image sensors,
medical image processing, unsupervised learning,
sparse regularization
BibRef
Garcia-Cardona, C.,
Wohlberg, B.,
Subproblem coupling in convolutional dictionary learning,
ICIP17(1697-1701)
IEEE DOI
1803
Convolution, Convolutional codes, Couplings, Dictionaries, Encoding,
Machine learning, Training, ADMM,
Convolutional Sparse Representations
BibRef
Liu, J.,
Garcia-Cardona, C.,
Wohlberg, B.,
Yin, W.,
Online convolutional dictionary learning,
ICIP17(1707-1711)
IEEE DOI
1803
Convolution, Convolutional codes, Dictionaries,
Frequency-domain analysis, Machine learning, Training,
Convolutional Sparse Representation
BibRef
Serra, J.G.,
Villena, S.,
Molina, R.,
Katsaggelos, A.K.,
Greedy Bayesian double sparsity dictionary learning,
ICIP17(1935-1939)
IEEE DOI
1803
Bayes methods, Compressed sensing, Computational modeling,
Covariance matrices, Dictionaries, Machine learning,
Sparse Representation
BibRef
Liu, Q.,
Leung, H.,
Synthesis-analysis deconvolutional network for compressed sensing,
ICIP17(1940-1944)
IEEE DOI
1803
Analytical models, Computational modeling, Convolutional codes,
Dictionaries, Filter banks, Image coding, Manifolds,
MRFs
BibRef
Wang, H.,
Xia, Y.,
Wang, Z.,
Dictionary learning-based image compression,
ICIP17(3235-3239)
IEEE DOI
1803
Approximation algorithms, Dictionaries, Image coding,
Image reconstruction, Quantization (signal), Sparse matrices,
information entropy
BibRef
Papyan, V.,
Romano, Y.,
Elad, M.[Michael],
Sulam, J.,
Convolutional Dictionary Learning via Local Processing,
ICCV17(5306-5314)
IEEE DOI
1802
Fourier analysis, image coding, image filtering,
image representation, image restoration,
Training
BibRef
Nilsson, M.,
Sparse coding with unity range codes and label consistent
discriminative dictionary learning,
ICPR16(3186-3191)
IEEE DOI
1705
Decoding, Dictionaries, Encoding, Indexes, Minimization, Optimization,
Pattern, recognition
BibRef
Liu, J.[Jie],
Tang, S.[Sheng],
Li, Y.[Yu],
Collaborative Dictionary Learning and Soft Assignment for Sparse Coding
of Image Features,
MMMod17(I: 443-451).
Springer DOI
1701
BibRef
Lai, B.S.[Bai-Sheng],
Gong, X.J.[Xiao-Jin],
Saliency Guided Dictionary Learning for Weakly-Supervised Image
Parsing,
CVPR16(3630-3639)
IEEE DOI
1612
BibRef
Huang, W.,
Sun, F.,
Cao, L.,
Zhao, D.,
Liu, H.,
Harandi, M.,
Sparse Coding and Dictionary Learning with Linear Dynamical Systems,
CVPR16(3938-3947)
IEEE DOI
1612
BibRef
Zhang, Y.[Yan],
Ji, R.R.[Rong-Rong],
Fan, X.P.[Xiao-Peng],
Wang, Y.[Yan],
Guo, F.[Feng],
Gao, Y.[Yue],
Zhao, D.B.[De-Bin],
Search-Based Depth Estimation via Coupled Dictionary Learning with
Large-Margin Structure Inference,
ECCV16(V: 858-874).
Springer DOI
1611
BibRef
Liu, Y.[Yang],
Chen, W.[Wei],
Chen, Q.C.[Qing-Chao],
Wassell, I.[Ian],
Support Discrimination Dictionary Learning for Image Classification,
ECCV16(II: 375-390).
Springer DOI
1611
BibRef
Taalimi, A.,
Shams, H.,
Rahimpour, A.,
Khorsandi, R.,
Wang, W.[Wei],
Guo, R.[Rui],
Qi, H.,
Multimodal weighted dictionary learning,
AVSS16(173-179)
IEEE DOI
1611
Algorithm design and analysis
BibRef
Taalimi, A.[Ali],
Rahimpour, A.[Alireza],
Capdevila, C.[Cristian],
Zhang, Z.F.[Zhi-Fei],
Qi, H.R.[Hai-Rong],
Robust coupling in space of sparse codes for multi-view recognition,
ICIP16(3897-3901)
IEEE DOI
1610
Cameras
BibRef
Rong, Y.[Yi],
Xiong, S.W.[Sheng-Wu],
Gao, Y.S.[Yong-Sheng],
Discriminative dictionary pair learning from partially labeled data,
ICIP16(719-723)
IEEE DOI
1610
Decision support systems
BibRef
Marsousi, M.[Mahdi],
Li, X.Y.[Xing-Yu],
Plataniotis, K.N.[Konstantinos N.],
Shape-included label-consistent discriminative dictionary learning:
An approach to detect and segment multi-class objects in images,
ICIP16(729-733)
IEEE DOI
1610
Dictionaries
BibRef
Reichman, D.,
Malof, J.M.,
Collins, L.M.,
Leveraging seed dictionaries to improve dictionary learning,
ICIP16(3723-3727)
IEEE DOI
1610
Decision support systems
BibRef
Matiz, S.[Sergio],
Barner, K.E.[Kenneth E.],
Label consistent recursive least squares dictionary learning for
image classification,
ICIP16(1888-1892)
IEEE DOI
1610
Databases
BibRef
Cui, S.Y.[Shi-Yong],
Schwarz, G.[Gottfried],
Datcu, M.[Mihai],
Image classification: No features, no clustering,
ICIP15(1960-1964)
IEEE DOI
1512
Bag-of-words (BoW)
BibRef
Guo, J.[Jun],
Guo, Y.Q.[Yan-Qing],
Li, Y.[Yi],
Wang, B.[Bo],
Li, M.[Ming],
Locality sensitive discriminative dictionary learning,
ICIP15(1558-1562)
IEEE DOI
1512
Discriminative dictionary learning
BibRef
Liu, B.D.[Bao-Di],
Shen, B.[Bin],
Li, X.[Xue],
Locality sensitive dictionary learning for image classification,
ICIP15(3807-3811)
IEEE DOI
1512
Dictionary Learning
BibRef
Haghiri, S.[Siavash],
Rabiee, H.R.[Hamid R.],
Soltani-Farani, A.[Ali],
Hosseini, S.A.[Seyyed Abbas],
Shadloo, M.[Maryam],
Locality preserving discriminative dictionary learning,
ICIP14(5242-5246)
IEEE DOI
1502
Accuracy
BibRef
Cai, S.[Sijia],
Zuo, W.M.[Wang-Meng],
Zhang, L.[Lei],
Feng, X.C.[Xiang-Chu],
Wang, P.[Ping],
Support Vector Guided Dictionary Learning,
ECCV14(IV: 624-639).
Springer DOI
1408
BibRef
Chen, Z.Y.[Zhuo-Yuan],
Wu, Y.[Ying],
Robust Dictionary Learning by Error Source Decomposition,
ICCV13(2216-2223)
IEEE DOI
1403
machine learning; robust statistics
BibRef
Hawe, S.[Simon],
Seibert, M.[Matthias],
Kleinsteuber, M.[Martin],
Separable Dictionary Learning,
CVPR13(438-445)
IEEE DOI
1309
Compare to K-SVD.
BibRef
Lian, X.C.[Xiao-Chen],
Li, Z.W.[Zhi-Wei],
Lu, B.L.[Bao-Liang],
Zhang, L.[Lei],
Max-Margin Dictionary Learning for Multiclass Image Categorization,
ECCV10(IV: 157-170).
Springer DOI
1009
for use with bag of visual terms (words) and SVM classifiers.
BibRef
Ramirez, I.[Ignacio],
Sprechmann, P.[Pablo],
Sapiro, G.[Guillermo],
Classification and clustering via dictionary learning with structured
incoherence and shared features,
CVPR10(3501-3508).
IEEE DOI Video of talk:
WWW Link.
1006
Model the data rather than just using the centroid.
BibRef
Zhang, R.G.[Rong-Guo],
Wang, C.H.[Chun-Heng],
Xiao, B.H.[Bai-Hua],
A strategy of classification via sparse dictionary learned by
non-negative K-SVD,
Subspace09(117-122).
IEEE DOI
0910
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Semi-Supervised Clustering, Semi-Supervised Learning, Classification .