13.4.1.5 Invariants -- ICA, Independent Component Analysis

Chapter Contents (Back)
ICA. Object Recognition. ICA Computation of:
See also Computation and Analysis of Principal Components, Eigen Values, SVD.

The FastICA package for MATLAB,
2007
WWW Link. Code, FastICA.

Plumbley, M.,
Conditions for nonnegative independent component analysis,
SPLetters(9), No. 6, June 2002, pp. 177-180.
IEEE Top Reference. 0208
BibRef

Hyvärinen, A.[Aapo], Inki, M.[Mika],
Estimating Overcomplete Independent Component Bases for Image Windows,
JMIV(17), No. 2, September 2002, pp. 139-152.
DOI Link 0211
BibRef

Le Borgne, H., Gurin-Dugu, A., O'Connor, N.E.,
Learning Midlevel Image Features for Natural Scene and Texture Classification,
CirSysVideo(17), No. 3, March 2007, pp. 286-297.
IEEE DOI 0703
BibRef

Le Borgne, H.[Hervé], Guérin-Dugué, A.[Anne], Antoniadis, A.[Anestis],
Representation of images for classification with independent features,
PRL(25), No. 2, January 2004, pp. 141-154.
Elsevier DOI 0401
ICA for classification. BibRef

Balakrishnan, N., Hariharakrishnan, K., Schonfeld, D.,
A New Image Representation Algorithm Inspired by Image Submodality Models, Redundancy Reduction, and Learning in Biological Vision,
PAMI(27), No. 9, September 2005, pp. 1367-1378.
IEEE DOI 0508
Successive projections into subspaces. Edge subspace using ICA. BibRef

Huang, X.M.[Xu-Ming], Wang, B.[Bin], Zhang, L.M.[Li-Ming],
A new scheme for extraction of affine invariant descriptor and affine motion estimation based on independent component analysis,
PRL(26), No. 9, 1 July 2005, pp. 1244-1255.
Elsevier DOI 0506
BibRef

Luo, J.B.[Jie-Bo], Boutell, M.R.[Matthew R.],
Natural scene classification using overcomplete ICA,
PR(38), No. 10, October 2005, pp. 1507-1519.
Elsevier DOI 0508
BibRef

Hesse, C.W., James, C.J.,
The FastICA Algorithm With Spatial Constraints,
SPLetters(12), No. 11, November 2005, pp. 792-795.
IEEE DOI 0510
BibRef

Gao, P., Woo, W.L., Dlay, S.S.,
Non-linear independent component analysis using series reversion and Weierstrass network,
VISP(153), No. 2, April 2006, pp. 115-131.
DOI Link 0604
BibRef

Al-Shiha, A.A.M.[Abeer A. Mohamad], Woo, W.L., Dlay, S.S.,
Multi-linear neighborhood preserving projection for face recognition,
PR(47), No. 2, 2014, pp. 544-555.
Elsevier DOI 1311
Feature extraction BibRef

Ferreira, A.J.[Artur J.], Figueiredo, M.A.T.[Mário A.T.],
On the use of independent component analysis for image compression,
SP:IC(21), No. 5, June 2006, pp. 378-389.
Elsevier DOI 0606
BibRef
Earlier:
Class-adapted image compression using independent component analysis,
ICIP03(I: 625-628).
IEEE DOI 0312
Lossy image coding; Matching pursuit; Orthogonalization; BibRef

Squartini, S., Arcangeli, A., Piazza, F,
Stability Analysis of Natural Gradient Learning Rules in Complete ICA: A Unifying Perspective,
SPLetters(14), No. 1, January 2007, pp. 54-57.
IEEE DOI 0701
BibRef

Chiu, S.H.[Shih-Hsuan], Lu, C.P.[Chuan-Pin], Wu, D.C.[Dien-Chi], Wen, C.Y.[Che-Yen],
A histogram based data-reducing algorithm for the fixed-point independent component analysis,
PRL(29), No. 3, 1 February 2008, pp. 370-376.
Elsevier DOI 0801
Independent component analysis; FastICA; Data reduction BibRef

Foo, J.Y.A.,
Use of Independent Component Analysis to Reduce Motion Artifact in Pulse Transit Time Measurement,
SPLetters(15), No. 1, January 2008, pp. 124-126.
IEEE DOI 0801
pulses. BibRef

Raj, R.G.[Raghu G.], Bovik, A.C.[Alan C.],
MICA: A Multilinear ICA Decomposition for Natural Scene Modeling,
IP(17), No. 3, March 2008, pp. 259-271.
IEEE DOI 0802
BibRef

Raj, R.G.[Raghu G.], Bovik, A.C.[Alan C.],
A fast Multilinear ICA algorithm,
ICIP10(1889-1892).
IEEE DOI 1009
BibRef

Zarzoso, V., Phlypo, R., Comon, P.,
A Contrast for Independent Component Analysis With Priors on the Source Kurtosis Signs,
SPLetters(15), No. 1, 2008, pp. 501-504.
IEEE DOI 0806
BibRef

Liu, K.H.[Kun-Hong], Li, B.[Bo], Zhang, J.[Jun], Du, J.X.[Ji-Xiang],
Ensemble component selection for improving ICA based microarray data prediction models,
PR(42), No. 7, July 2009, pp. 1274-1283.
Elsevier DOI 0903
Microarray data; Independent component analysis (ICA); Multiple classifier system (MCS); Ensemble component selection; Multi-objective genetic algorithm (MOGA); Global-recording technique BibRef

Salazar, A.[Addisson], Vergara, L.[Luis], Serrano, A.[Arturo], Igual, J.[Jorge],
A general procedure for learning mixtures of independent component analyzers,
PR(43), No. 1, January 2010, pp. 69-85.
Elsevier DOI 0909
ICA mixture model; ICA; BSS; Non-parametric density estimation; Semi-supervised learning BibRef

Yamazaki, M.[Masaki], Fels, S.[Sidney],
Local Image Descriptors Using Supervised Kernel ICA,
IEICE(E92-D), No. 9, September 2009, pp. 1745-1751.
WWW Link. 0910
BibRef
Earlier: PSIVT09(94-105).
Springer DOI 0901
BibRef

Gao, Q.X.[Quan-Xue], Zhang, L.[Lei], Zhang, D.[David], Xu, H.[Hui],
Independent components extraction from image matrix,
PRL(31), No. 3, 1 February 2010, pp. 171-178.
Elsevier DOI 1001
Independent component analysis; Directional image; Feature extraction; Face recognition BibRef

Zhang, L.[Lei], Zhu, P.F.[Peng-Fei], Hu, Q.H.[Qing-Hua], Zhang, D.[David],
A linear subspace learning approach via sparse coding,
ICCV11(755-761).
IEEE DOI 1201
BibRef

Zhang, L.[Lei], Gao, Q.X.[Quan-Xue], Zhang, D.[David],
Directional independent component analysis with tensor representation,
CVPR08(1-7).
IEEE DOI 0806
BibRef

Deng, W.H.[Wei-Hong], Liu, Y.B.[Ye-Bin], Hu, J.[Jiani], Guo, J.[Jun],
The small sample size problem of ICA: A comparative study and analysis,
PR(45), No. 12, December 2012, pp. 4438-4450.
Elsevier DOI 1208
Projection pursuit; Independent component analysis; Whitened principal component analysis; Locality pursuit; Face recognition BibRef

Adali, T.[Tulay], Anderson, M.[Matthew], Fu, G.S.[Geng-Shen],
Diversity in Independent Component and Vector Analyses: Identifiability, algorithms, and applications in medical imaging,
SPMag(31), No. 3, May 2014, pp. 18-33.
IEEE DOI 1405
Compontent analysis BibRef

Adali, T.[Tulay], Anderson, M.[Matthew], Fu, G.[Gengshen],
ICA and IVA: Theory, connections, and applications to medical imaging,
WSSIP14(1-4) 1406
Tin BibRef

Spurek, P., Tabor, J., Rola, P., Ociepka, M.,
ICA based on asymmetry,
PR(67), No. 1, 2017, pp. 230-244.
Elsevier DOI 1704
ICA BibRef

Nordhausen, K., Oja, H., Tyler, D.E., Virta, J.,
Asymptotic and Bootstrap Tests for the Dimension of the Non-Gaussian Subspace,
SPLetters(24), No. 6, June 2017, pp. 887-891.
IEEE DOI 1705
Analytical models, Covariance matrices, Eigenvalues and eigenfunctions, Gaussian distribution, Independent component analysis, Limiting, Symmetric matrices, Fourth-order blind identification (FOBI), independent component analysis (ICA), non-Gaussian component analysis (NGCA) BibRef

Basiri, S., Ollila, E., Koivunen, V.,
Alternative Derivation of FastICA With Novel Power Iteration Algorithm,
SPLetters(24), No. 9, September 2017, pp. 1378-1382.
IEEE DOI 1708
Approximation algorithms, Eigenvalues and eigenfunctions, Jacobian matrices, Mathematical model, Parallel processing, Signal processing algorithms, Newton-Raphson (NR) method, independent component analysis (ICA), power method BibRef

Park, S.[Sungheon], Kwak, N.[Nojun],
Independent component analysis by lp-norm optimization,
PR(76), No. 1, 2018, pp. 752-760.
Elsevier DOI 1801
ICA BibRef

Li, Y.P.[Yun-Peng],
Second-Order Approximation of Minimum Discrimination Information in Independent Component Analysis,
SPLetters(29), 2022, pp. 334-338.
IEEE DOI 2202
Mathematical models, Estimation, Signal processing algorithms, Standards, Optimization, Newton method, Approximation algorithms, weighted least squares BibRef

Li, Y.P.[Yun-Peng], Ye, Z.H.[Zhao-Hui],
Boosting Independent Component Analysis,
SPLetters(29), 2022, pp. 1367-1371.
IEEE DOI 2206
Boosting, Signal processing algorithms, Mathematical models, Maximum likelihood estimation, Splines (mathematics), fixed-point method BibRef


Tian, T.[Tian],
Weighted orthogonal constrained maximum likelihood ICA algorithm and its application in image feature extraction,
ICIVC17(98-102)
IEEE DOI 1708
Algorithm design and analysis, Band-pass filters, Convergence, Feature extraction, Maximum likelihood estimation, Principal component analysis, Signal processing algorithms, feature extraction, independent component analysis, maximum likelihood estimation, weighted, orthogonal, constraint BibRef

Mehrjou, A., Araabi, B.N., Hosseini, R.,
Separation of multiplicative image components by Bayesian Independent Component Analysis,
IPRIA15(1-7)
IEEE DOI 1603
Bayes methods BibRef

Chatzis, S.P., Kosmopoulos, D.I.,
A Nonparametric Bayesian Approach toward Stacked Convolutional Independent Component Analysis,
ICCV15(2803-2811)
IEEE DOI 1602
Adaptation models BibRef

Tanase, R.[Radu], Vaduva, C.[Corina], Datcu, M.[Mihai], Raducanu, D.[Dan],
A validation of ICA decomposition for PolSAR images by using measures of normalized compression distance,
ICIP15(2369-2373)
IEEE DOI 1512
coherent decomposition BibRef

Yang, F.[Fan], Lu, H.C.[Hu-Chuan], Chen, Y.W.[Yen-Wei],
Robust tracking based on Boosted Color Soft Segmentation and ICA-R,
ICIP10(3917-3920).
IEEE DOI 1009
BibRef

Luo, Y.H.[Yi-Han], Fu, C.Y.[Cheng-Yu],
Contrast Functions for Convolutive ICA of Complex-Valued Linear Processes,
CISP09(1-5).
IEEE DOI 0910
BibRef

Constantin, D.[Doru], State, L.[Luminita],
A Version of the FastICA Algorithm Based on the Secant Method Combined with Simple Iterations Method,
ICISP08(312-320).
Springer DOI 0807
BibRef
And:
An Improved Algorithm for Estimating the ICA Model Concerning the Convergence Rate,
AMDO08(xx-yy).
Springer DOI 0807
BibRef

Kalra, M., Das, S., Datta, A.,
Generic Object Recognition Using a Combination of ICA and Shape Cues,
AVSBS06(14-14).
IEEE DOI 0611
BibRef

Liu, Y.D.[Ya-Dong], Zang, G.H.[Guo-Hua], Liu, F.[Fayi], Yan, L.R.[Li-Rong], Li, M.[Ming], Zhou, Z.T.[Zong-Tan], Hu, D.[Dewen],
Spatial and Temporal Analysis for Optical Imaging Data Using CWT and tICA,
CVBIA05(508-516).
Springer DOI 0601
BibRef

Teixeira, A.R., Tomé, A.M., Lang, E.W.,
Feature Extraction Using Low-Rank Approximations of the Kernel Matrix,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Böhm, M.[Matthias], Stadlthanner, K.[Kurt], Tomé, A.M.[Ana M.], Gruber, P.[Peter], Teixeira, A.R.[Ana R.], Theis, F.J.[Fabian J.], Puntonet, C.G.[Carlos G.], Lang, E.W.[Elmar W.],
AutoAssign: An Automatic Assignment Tool for Independent Components,
IbPRIA05(II:75).
Springer DOI 0509
BibRef

Rogez, G.[Grégory], Orrite-Uruñuela, C.[Carlos], Martínez-del-Rincón, J.[Jesús],
Human Figure Segmentation Using Independent Component Analysis,
IbPRIA05(I:300).
Springer DOI 0509
BibRef

Sengupta, K.[Kuntal], Burman, P.[Prabir], Sharma, R.[Rajeev],
A non-parametric approach for independent component analysis using kernel density estimation,
CVPR04(II: 667-672).
IEEE DOI 0408
ICA variation to deal with outliers. BibRef

Fang, C.[Chi], Ding, X.Q.[Xiao-Qing],
Improvement of ICA based probability density estimation for pattern recognition,
ICPR04(III: 466-469).
IEEE DOI 0409
BibRef

Lindgren, J.T., Hyvarinen, A.,
Learning high-level independent components of images through a spectral representation,
ICPR04(II: 72-75).
IEEE DOI 0409
BibRef

Lukic, A.S., Wernick, M.N., Hansen, L.K., Strothe, S.C.,
An ICA algorithm for analyzing multiple data sets,
ICIP02(II: 821-824).
IEEE DOI 0210
BibRef

Zhou, X., Moghaddam, B., Huang, T.,
ICA-based Probabilistic Local Appearance Models,
ICIP01(I: 161-164).
IEEE DOI 0108
BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Invariants -- Linear Discriminant Analysis, Fisher Linear Discriminant .


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