13.4.1.4 Invariants -- ICA, Independent Component Analysis

The FastICA package for MATLAB,
2007
WWW Version. 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.
WWW Version. 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 Link 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.
WWW Version. 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 Link 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.
WWW Version. 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.
WWW Version. 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 Link 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.
WWW Version. 0604
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.
WWW Version. 0606
BibRef
Earlier:
Class-adapted image compression using independent component analysis,
ICIP03(I: 625-628).
IEEE Abstract. 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 Link 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.
WWW Version. 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 Link 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 Link 0802
BibRef

Raj, R.G.[Raghu G.], Bovik, A.C.[Alan C.],
A fast Multilinear ICA algorithm,
ICIP10(1889-1892).
IEEE DOI Link 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 Link 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 Link
WWW Version. 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 Link
WWW Version. 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 Version. 0910
BibRef
Earlier: PSIVT09(94-105).
Springer DOI Link 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 Link
WWW Version. 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 Link 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 Link 0806
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 Link 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 Link 0807
BibRef
And:
An Improved Algorithm for Estimating the ICA Model Concerning the Convergence Rate,
AMDO08(xx-yy).
Springer DOI Link 0807
BibRef

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

Liu, Y.D.[Ya-Dong], Zang, G.[Guohua], 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 Link 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 Link 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 Link 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 Link 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 Abstract. 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 Link 0409
BibRef

Lindgren, J.T., Hyvarinen, A.,
Learning high-level independent components of images through a spectral representation,
ICPR04(II: 72-75).
IEEE DOI Link 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 Abstract. 0210
BibRef

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

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