13.4.1.7 Computation and Analysis of Principal Components, Eigen Values, SVD

Chapter Contents (Back)
Eigen Value. Eigen Decomposition. PCA. SVD. Principal Components. See also Factorization Approach to Motion. See also Number of Features, Dimensionality, Dimensionality Reduction.

Shlien, S.,
A Method for Computing the Partial Singular Value Decomposition,
PAMI(4), No. 6, November 1982, pp. 671-676. BibRef 8211

Haimi-Cohen, R., and Cohen, A.,
Gradient-Type Algorithms for Partial Singular Value Decomposition,
PAMI(9), No. 1, January 1987, pp. 137-142. BibRef 8701

Nayar, S.K.[Shree K.], Murase, H.[Hiroshi],
Dimensionality of Illumination Manifolds in Appearance Matching,
ORCV96(165) 9611 BibRef

Roseborough, J.B.[James B.], Murase, H.[Hiroshi],
Partial eigenvalue decomposition for large image sets using run-length encoding,
PR(28), No. 3, March 1995, pp. 421-430.
WWW Version. 0401 BibRef

Murase, W., Lindenbaum, M.,
Partial eigenvalue decomposition of large images using spatial temporal adaptive method,
IP(4), No. 5, May 1995, pp. 620-629.
WWW Version. 0402 BibRef

Oja, E.,
A simplified neuron model as a principal component analyzer,
J. Math. Biol.(15), 1982, pp. 267-273. Neural Networks. BibRef 8200

Oja, E.,
Neural networks, principal components, and subspace,
J. Neural Syst.(1), 1989, pp. 61-68. BibRef 8900

Oja, E.,
Principal components, minor components, and linear neural networks,
NeurNet(5), 1992, pp. 927-935. BibRef 9200

Lorenzelli, F., Yao, K.,
Updating the Jacobi SVD for Nonstationary Data,
VISP(144), No. 2, April 1997, pp. 108-115. 9706 BibRef

Chandrasekaran, S., Manjunath, B.S., Wang, Y.F., Winkeler, J., Zhang, H.,
An Eigenspace Update Algorithm for Image Analysis,
GMIP(59), No. 5, September 1997, pp. 321-332. 9712
PDF Version. BibRef
Earlier: TRUniv. of California Santa Barbara. 1995. BibRef
And: SCV95(551-556).
IEEE Top Reference.
PDF Version. Introduce the vision community to the eigenspace updating algoithms from signal processing.
HTML Version. BibRef

Rajan, J.J., Rayner, P.J.W.,
Model Order Selection for the Singular-Value Decomposition and the Discrete Karhunen-Loeve Transform Using a Bayesian-Approach,
VISP(144), No. 2, April 1997, pp. 116-123. 9706 BibRef

Boyle, R.D.[Roger D.],
Scaling additional contributions to principal components analysis,
PR(31), No. 12, December 1998, pp. 2047-2053.
WWW Version. BibRef 9812

Zhao, L.[Li], Yang, Y.H.[Yee-Hong],
An efficient algorithm to compute eigenimages in PCA-based vision systems,
PR(32), No. 5, May 1999, pp. 851-864.
WWW Version. BibRef 9905

Yang, T.N.[Tai-Ning], Wang, S.D.[Sheng-De],
Robust algorithms for principal component analysis,
PRL(20), No. 8, August 1999, pp. 927-933. BibRef 9908

Horgan, G.W.[Graham W.],
Principal Component Analysis of Random Particles,
JMIV(12), No. 2, April 2000, pp. 169-175.
WWW Version. 0002 BibRef

Havlicek, J.P., Harding, D.S., Bovik, A.C.,
Multidimensional Quasi-Eigenfunction Approximations and Multicomponent AM-FM Models,
IP(9), No. 2, February 2000, pp. 227-242.
WWW Version. 0003 BibRef

Hall, P.M.[Peter M.], Marshall, D.R.[David R.], Martin, R.R.[Ralph R.],
Merging and Splitting Eigenspace Models,
PAMI(22), No. 9, September 2000, pp. 1042-1049.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0010Method to merge and split models. BibRef

Hall, P.M., Marshall, D.R., Martin, R.R.,
Incremental Eigenanalysis for Classification,
BMVC98(xx-yy). BibRef 9800

Hall, P.M.[Peter M.], Marshall, D.R.[David R.], Martin, R.R.[Ralph R.],
Adding and subtracting eigenspaces with eigenvalue decomposition and singular value decomposition,
IVC(20), No. 13-14, December 2002, pp. 1009-1016.
WWW Version. 0212 BibRef
Earlier:
Adding and subtracting eigenspaces,
BMVC99(Models and Search). BibRef

Bach, F.R., and Jordan, M.I.,
Kernel independent component analysis,
MachLearnRes(3), 2002, pp. 1-48.
WWW Version. BibRef 0200

p Chang, C.Y., Maciejewski, A.A., Balakrishnan, V.,
Fast Eigenspace Decomposition of Correlated Images,
IP(9), No. 11, November 2000, pp. 1937-1949.
WWW Version. 0011 BibRef

Saitwal, K., Maciejewski, A.A., Roberts, R.G., Draper, B.A.,
Using the Low-Resolution Properties of Correlated Images to Improve the Computational Efficiency of Eigenspace Decomposition,
IP(15), No. 8, August 2006, pp. 2376-2387.
WWW Version. 0606 BibRef

Saitwal, K., Maciejewski, A.A., Roberts, R.G.,
Eigendecomposition of Correlated Images Characterized by Three Parameters,
Southwest06(203-207).
WWW Version. 0603 BibRef

Donoho, D.L., Huo, X.M.[Xiao-Ming],
Uncertainty Principle and Ideal Atomic Decompositions,
IT(47), No. 7, November 2001, pp. 2845-2862. Decompose image with pairs of bases. BibRef 0111

Yang, J.[Jian], Yang, J.Y.[Jing-Yu],
From image vector to matrix: A straightforward image projection technique: IMPCA vs. PCA,
PR(35), No. 9, September 2002, pp. 1997-1999.
WWW Version. 0206 See also Face recognition based on the uncorrelated discriminant transformation. BibRef

Yang, J.[Jian], Zhang, D.[David], Frangi, A.F.[Alejandro F.], Yang, J.Y.[Jing-Yu],
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition,
PAMI(26), No. 1, January 2004, pp. 131-137.
IEEE Abstract. IEEE Top Reference. 0401PCA applied to a 2-D matrix rather than conversion to 1-D matrix. BibRef

Yang, J.[Jian], Jin, Z.[Zhong], Yang, J.Y.[Jing-Yu], Zhang, D.[David], Frangi, A.F.[Alejandro F.],
Essence of kernel Fisher discriminant: KPCA plus LDA,
PR(37), No. 10, October 2004, pp. 2097-2100.
WWW Version. 0409 BibRef

Yang, J.[Jian], Frangi, A.F.[Alejandro F.], Yang, J.Y.[Jing-Yu], Zhang, D.[David], Jin, Z.[Zhong],
KPCA Plus LDA: A Complete Kernel Fisher Discriminant Framework for Feature Extraction and Recognition,
PAMI(27), No. 2, February 2005, pp. 230-244.
IEEE Abstract. IEEE Top Reference. 0501 BibRef

Yang, J.[Jian], Zhang, D.[David], Jin, Z.[Zhong], Yang, J.Y.[Jing-Yu],
Unsupervised Discriminant Projection Analysis for Feature Extraction,
ICPR06(I: 904-907).
WWW Version. 0609 BibRef

Zuo, W.M.[Wang-Meng], Zhang, D.[David], Wang, K.Q.[Kuan-Quan],
An assembled matrix distance metric for 2DPCA-based image recognition,
PRL(27), No. 3, February 2006, pp. 210-216.
WWW Version. 0512 BibRef

Zuo, W.M.[Wang-Meng], Zhang, D.[David], Wang, K.Q.[Kuan-Quan],
Bidirectional PCA With Assembled Matrix Distance Metric for Image Recognition,
SMC-B(36), No. 4, August 2006, pp. 863-872.
WWW Version. 0606 BibRef
Earlier: A1, A3, A2:
Bi-Directional PCA with Assembled Matrix Distance Metric,
ICIP05(II: 958-961).
WWW Version. 0512 BibRef

Elad, M., Bruckstein, A.M.,
A Generalized Uncertainty Principle and Sparse Representation in Pairs of Bases,
IT(48), No. 9, September 2002, pp. 2558-2567. BibRef 0209

Altamirano, L.C.[Luis Carlos], Altamirano, L.[Leopoldo], Alvarado, M.[Matías],
Non-uniform sampling for improved appearance-based models,
PRL(24), No. 1-3, January 2003, pp. 521-535.
HTML Version. 0211 BibRef

Hamdan, R.[Raouf], Heitz, F.[Fabrice], Thoraval, L.[Laurent],
A low complexity approximation of probabilistic appearance models,
PR(36), No. 5, May 2003, pp. 1107-1118.
WWW Version. 0301 BibRef

Wang, Z.[Ze], Lee, Y.[Yin], Fiori, S.[Simone], Leung, C.S.[Chi-Sing], Zhu, Y.S.[Yi-Sheng],
An improved sequential method for principal component analysis,
PRL(24), No. 9-10, June 2003, pp. 1409-1415.
WWW Version. 0304 BibRef

Roberts, S.[Stephen], Choudrey, R.[Rizwan],
Data decomposition using independent component analysis with prior constraints,
PR(36), No. 8, August 2003, pp. 1813-1825.
WWW Version. 0304 BibRef

Melzer, T.[Thomas], Reiter, M.[Michael], Bischof, H.[Horst],
Appearance Models Based on Kernel Canonical Correlation Analysis,
PR(36), No. 9, September 2003, pp. 1961-1971.
WWW Version. 0307 BibRef

Jogan, M., Zagar, E., Leonardis, A.,
Karhunen-Loeve expansion of a set of rotated templates,
IP(12), No. 7, July 2003, pp. 817-825.
WWW Version. 0308Eigen vectors of a set of rotated templates. BibRef

Artac, M., Jogan, M., Leonardis, A.,
Incremental PCA for on-line visual learning and recognition,
ICPR02(III: 781-784).
WWW Version. 0211 BibRef

Weng, J.Y.[Ju-Yang], Zhang, Y.L.[Yi-Lu], Hwang, W.S.[Wey-Shiuan],
Candid covariance-free incremental principal component analysis,
PAMI(25), No. 8, August 2003, pp. 1034-1040.
IEEE Abstract. IEEE Top Reference. 0308Fast incremental computation method. BibRef

Davies, M., Mitianoudis, N.,
Simple mixture model for sparse overcomplete ICA,
VISP(151), No. 1, February 2004, pp. 35-43.
IEEE Abstract. IEEE Top Reference. 0403Use a mixture of Gaussians. BibRef

Davies, M.,
Identifiability Issues in Noisy ICA,
SPLetters(11), No. 5, may 2004, pp. 470-473.
IEEE Abstract. IEEE Top Reference. 0404 BibRef

Liu, W.X.[Wei-Xiang], Zheng, N.N.[Nan-Ning],
Non-negative matrix factorization based methods for object recognition,
PRL(25), No. 8, June 2004, pp. 893-897.
WWW Version. 0405 BibRef
And: Erratum: PRL(26), No. 14, 15 October 2005, pp. 2313.
WWW Version. Non-negative matrix factorization creates nonorthonormal bases so nearest neighbor classification does not work. Adopt a Riemannian metric. BibRef

Yuan, Z.J.[Ze-Jian], Qu, Y.Y.[Yan-Yun], Yang, Y.[Yang], Zheng, N.N.[Nan-Ning],
An Approach for Constructing Sparse Kernel Classifier,
ICPR06(II: 560-563).
WWW Version. 0609 BibRef

Eriksson, J., Koivunen, V.,
Identifiability, Separability, and Uniqueness of Linear ICA Models,
SPLetters(11), No. 7, July 2004, pp. 601-604.
IEEE Abstract. IEEE Top Reference. 0407 BibRef

Musa, M.E.M.[Mohamed E. M.], de Ridder, D.[Dick], Duin, R.P.W.[Robert P. W.], Atalay, V.[Volkan],
Almost autonomous training of mixtures of principal component analyzers,
PRL(25), No. 9, 2 July 2004, pp. 1085-1095.
WWW Version. 0407 BibRef

Lee, S., Hayes, M.H.,
Properties of the Singular Value Decomposition for Efficient Data Clustering,
SPLetters(11), No. 11, November 2004, pp. 862-866.
IEEE Abstract. IEEE Top Reference. 0411 BibRef

Lipovetsky, S.[Stan], Conklin, W.M.[W. Michael],
Singular value decomposition in additive, multiplicative, and logistic forms,
PR(38), No. 7, July 2005, pp. 1099-1110.
WWW Version. 0505 BibRef

Chen, S.C.[Song-Can], Zhu, Y.L.[Yu-Lian], Zhang, D.Q.[Dao-Qiang], Yang, J.Y.[Jing-Yu],
Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA,
PRL(26), No. 8, June 2005, pp. 1157-1167.
WWW Version. 0506 BibRef

Kim, K.I.[Kwang In], Franz, M.O., Scholkopf, B.,
Iterative Kernel Principal Component Analysis for Image Modeling,
PAMI(27), No. 9, September 2005, pp. 1351-1366.
WWW Version. 0508Iterative estimation of PCA. Applied to super resolution and denoising. BibRef

Liang, Z.Z.[Zhi-Zheng], Shi, P.F.[Peng-Fei],
An analytical algorithm for generalized low-rank approximations of matrices,
PR(38), No. 11, November 2005, pp. 2213-2216.
WWW Version. 0509 See also Comments on An analytical algorithm for generalized low-rank approximations of matrices. BibRef

Nishino, K.[Ko], Nayar, S.K., Jebara, T.,
Clustered Blockwise PCA for Representing Visual Data,
PAMI(27), No. 10, October 2005, pp. 1675-1679.
WWW Version. 0509PCA applied to video, use spatio-temporal correlation. PCA to blocks of the data, not the whole thing. BibRef

Wang, L., Wang, X., Feng, J.,
On Image Matrix Based Feature Extraction Algorithms,
SMC-B(36), No. 1, February 2006, pp. 194-197.
WWW Version. 06022DPCA and 2DLDA are equivalent to a block based feature extraction. Partition into blocks and perform PCA/LDA on aggerate of all blocks. BibRef

Gao, Q., Zhang, L., Zhang, D., Yang, J.,
Comments on 'On Image Matrix Based Feature Extraction Algorithms',
SMC-B(37), No. 5, October 2007, pp. 1373-1374.
WWW Version. 0711 See also On Image Matrix Based Feature Extraction Algorithms. BibRef

Liu, J.[Jun], Chen, S.C.[Song-Can],
Non-iterative generalized low rank approximation of matrices,
PRL(27), No. 9, July 2006, pp. 1002-1008.
WWW Version. 2DPCA; Generalized low rank approximation of matrices (GLRAM); Non-iterative GLRAM (NIGLRAM); Feature extraction 0605 BibRef

Burvall, A.[Anna], Barrett, H.H.[Harrison H.], Dainty, C.[Christopher], Myers, K.J.[Kyle J.],
Singular-value decomposition for through-focus imaging systems,
JOSA-A(23), No. 10, October 2006, pp. 2440-2448.
WWW Version. 0610 BibRef

Ranade, A.[Abhiram], Mahabalarao, S.S.[Srikanth S.], Kale, S.[Satyen],
A variation on SVD based image compression,
IVC(25), No. 6, 1 June 2007, pp. 771-777.
WWW Version. 0704Image compression; Singular value decomposition; Karhunen-Loeve transform; Matrix rank, Low resolution sample BibRef

Chin, T.J.[Tat-Jun], Suter, D.[David],
Incremental Kernel Principal Component Analysis,
IP(16), No. 6, June 2007, pp. 1662-1674.
WWW Version. 0706 BibRef
Earlier:
Improving the Speed of Kernel PCA on Large Scale Datasets,
AVSBS06(41-41).
WWW Version. 0611 BibRef

Tanaka, A.[Akira], Imai, H.[Hideyuki], Kudo, M.[Mineichi], Miyakoshi, M.[Masaaki],
Integrated kernels and their properties,
PR(40), No. 11, November 2007, pp. 2930-2938.
WWW Version. 0707Kernel; Reproducing kernel Hilbert space (RKHS); Projection learning; Parameter integration BibRef

Chang, C.C.[Chin-Chun], Lin, T.Y.[Tzung-Ying],
Linear feature extraction by integrating pairwise and global discriminatory information via sequential forward floating selection and kernel QR factorization with column pivoting,
PR(41), No. 4, April 2008, pp. 1373-1383.
WWW Version. 0801Linear discriminant analysis; Kernel methods; Feature extraction BibRef

Agrawal, R.K., Karmeshu,
Perturbation scheme for online learning of features: Incremental principal component analysis,
PR(41), No. 5, May 2008, pp. 1452-1460.
WWW Version. 0711Statistical pattern recognition; Feature extraction; Face recognition; Principal component analysis; Variance-covariance matrix; Perturbation method BibRef

Hu, Y.F.[Ya-Feng], Lv, H.R.[Hai-Rong], Zhang, X.[Xianda],
Comments on 'An analytical algorithm for generalized low-rank approximations of matrices',
PR(41), No. 6, June 2008, pp. 2133-2135.
WWW Version. 0802 See also analytical algorithm for generalized low-rank approximations of matrices, An. Low rank approximation; Analytical algorithm; Iterative algorithm BibRef


di Martino, F.[Ferdinando], Loia, V.[Vincenzo], Sessa, S.[Salvatore],
A Fuzzy Hybrid Method for Image Decomposition Problem,
EvoIASP08(xx-yy).
WWW Version. 0804 BibRef

Takahashi, T.[Tomokazu], Lina, Ide, I.[Ichiro], Mekada, Y.[Yoshito], Murase, H.[Hiroshi],
Interpolation Between Eigenspaces Using Rotation in Multiple Dimensions,
ACCV07(II: 774-783).
WWW Version. 0711Like rotation hyper-ellipsoid in high dimensional space. BibRef

Muñoz, A.[Alberto], González, J.[Javier],
Joint Diagonalization of Kernels for Information Fusion,
CIARP07(556-563).
WWW Version. 0711 BibRef

Lewis, J.P., Mostafavi, I.[Iman], Sosinsky, G.[Gina], Martone, M.E.[Maryanne E.], West, R.[Ruth],
Shape Priors by Kernel Density Modeling of PCA Residual Structure,
ICIP07(IV: 333-336).
WWW Version. 0709 BibRef

Aiello, M., Andreozzi, F., Catanzariti, E., Isgro, F., Santoro, M.,
Fast convergence for spectral clustering,
CIAP07(641-646).
WWW Version. 0709Cluster using first few eigen vectors. BibRef

Melenchón, J.[Javier], Martínez, E.[Elisa],
Efficiently Downdating, Composing and Splitting Singular Value Decompositions Preserving the Mean Information,
IbPRIA07(II: 436-443).
WWW Version. 0706 BibRef

Franc, V.[Vojtech], Hlavác, V.[Václav],
Greedy Kernel Principal Component Analysis,
CogVis03(87-105).
WWW Version. 0310 BibRef

Yan, S.C.[Shui-Cheng], Tang, X.[Xiaoou],
Trace Quotient Problems Revisited,
ECCV06(II: 232-244).
WWW Version. 0608 BibRef

Yan, S.C.[Shui-Cheng], Tang, X.[Xiaoou],
Largest-Eigenvalue-Theory for Incremental Principal Component Analysis,
ICIP05(I: 1181-1184).
WWW Version. 0512 BibRef

Ali, S.[Saad], Shah, M.[Mubarak],
A Supervised Learning Framework for Generic Object Detection in Images,
ICCV05(II: 1347-1354).
WWW Version. 0510Combine Kernel PCA and AdaBoost. BibRef

Yang, A.Y.[Allen Y.], Rao, S.[Shankar], Wagner, A.[Andrew], Ma, Y.[Yi], Fossum, R.M.[Robert M.],
Hilbert Functions and Applications to the Estimation of Subspace Arrangements,
ICCV05(I: 158-165).
WWW Version. 0510e.g. factorization and eigen models. BibRef

Wang, H.C.[Hong-Cheng], Ahuja, N.[Narendra],
A Tensor Approximation Approach to Dimensionality Reduction,
IJCV(76), No. 3, March 2008, pp. 217-229.
WWW Version. 0801 BibRef
Earlier:
Rank-R Approximation of Tensors: Using Image-as-Matrix Representation,
CVPR05(II: 346-353).
WWW Version. 0507 BibRef

Ghodsi, A.[Ali], Huang, J.[Jiayuan], Southey, F.[Finnegan], Schuurmans, D.[Dale],
Tangent-Corrected Embedding,
CVPR05(I: 518-525).
WWW Version. 0507Use prior info from the sequence in PCA like methods. BibRef

Mühlich, M.[Matthias], Mester, R.[Rudolf],
Optimal Estimation of Homogeneous Vectors,
SCIA05(322-332).
WWW Version. 0506 BibRef

Mühlich, M.[Matthias], Mester, R.[Rudolf],
Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis,
SMVP04(38-49).
WWW Version. 0505 BibRef

Yuan, X.T.[Xiao-Tong], Zhu, H.W.[Hong-Wen], Yang, S.T.[Shu-Tang],
A Robust Framework For Eigenspace Image Reconstruction,
WACV05(I: 54-59).
WWW Version. 0502Two step PCA. BibRef

Wilczkowiak, M., Sturm, P.F., Boyer, E.,
The Analysis of Ambiguous Solutions in Linear Systems and its Application to Computer Vision,
BMVC03(xx-yy).
HTML Version. 0409Analysis of problems where degenerate cases are easy to detect. Based on SVD analysis. BibRef

Gribonval, R., Nielsen, M.,
Sparse decompositions in 'incoherent' dictionaries,
ICIP03(I: 33-36).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Tropp, J.A., Gilbert, A.C., Muthukrishnan, S., Strauss, M.J.,
Improved sparse approximation over quasi-incoherent dictionaries,
ICIP03(I: 37-40).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Rozell, C.[Christopher], Johnson, D.[Don], Baraniuk, R.[Richard], Olshausen, B.A.[Bruno A.],
Locally Competitive Algorithms for Sparse Approximation,
ICIP07(IV: 169-172).
WWW Version. 0709 BibRef

Olshausen, B.A.,
Learning sparse, overcomplete representations of time-varying natural images,
ICIP03(I: 41-44).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Vermaak, J., Perez, P.,
Constrained subspace modelling,
CVPR03(II: 106-113).
IEEE Abstract. IEEE Top Reference. 0307Probabilistic analysis of PCA. BibRef

Li, Y.W.[Yong-Win], Xu, L.Q.[Li-Qun], Morphett, J., Jacobs, R.,
An integrated algorithm of incremental and robust PCA,
ICIP03(I: 245-248).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Pei, S.C.[Soo-Chang], Chang, J.H.[Ja-Han], Ding, J.J.[Jian-Jiun],
Quaternion matrix singular value decomposition and its applications for color image processing,
ICIP03(I: 805-808).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Ho, J., Yang, M.H.[Ming-Hsuan], Lim, J.W.[Jong-Woo], Lee, K.C.[Kuang-Chih], Kriegman, D.J.,
Clustering appearances of objects under varying illumination conditions,
CVPR03(I: 11-18).
IEEE Abstract. IEEE Top Reference. 0307 BibRef

Fitzgibbon, A.W., Zisserman, A.,
Joint manifold distance: a new approach to appearance based clustering,
CVPR03(I: 26-33).
IEEE Abstract. IEEE Top Reference. 0307 BibRef

Levin, A.[Anat], Shashua, A.[Amnon],
Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces,
ECCV02(III: 635 ff.).
HTML Version. 0205 BibRef

Pesquet-Popescu, B., Pesquet, J.C., Petropulu, A.P.,
Joint Singular Value Decomposition: A New Tool for Separable Representation of Images,
ICIP01(II: 569-572).
IEEE Abstract. IEEE Top Reference. 0108 BibRef

Brand, M.,
Incremental Singular Value Decomposition of Uncertain Data with Missing Values,
ECCV02(I: 707 ff.).
HTML Version. 0205 BibRef

Moghaddam, B., Zhou, X.[Xiang],
Factorized local appearance models,
ICPR02(III: 553-556).
WWW Version. 0211 BibRef

Popovici, V., Thiran, J.P.,
PCA in autocorrelation space,
ICPR02(II: 132-135).
WWW Version. 0211 BibRef

Chennubhotla, C., Jepson, A.D.,
Perceptual distance normalization for appearance detection,
ICPR04(II: 23-27).
WWW Version. 0409 BibRef

Chennubhotla, C.[Chakra], Jepson, A.D.[Allan D.],
Sparse PCA: Extracting Multi-scale Structure from Data,
ICCV01(I: 641-647).
WWW Version. 0106 BibRef

Iwamura, M., Omachi, S., Aso, H.,
A Modification of Eigenvalues to Compensate Estimation Errors of Eigenvectors,
ICPR00(Vol II: 378-381).
WWW Version.
HTML Version. 0009 BibRef

Wang, S., Xia, S.,
Self-Organizing Algorithm of Robust PCA Based on Single-Layer NN,
ICDAR97(Poste) 9708 BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Faces using Invariants -- Eigenfaces .


Last update:May 8, 2008 at 19:01:47