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
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 .