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Principal value
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#	Item
251	Multiple-Exemplar Discriminant Analysis for Face Recognition Shaohua Kevin Zhou and Rama Chellappa Center for Automation Research and Department of Electrical and Computer Engineering University of Maryland, College Park Add to Reading List Source URL: www.face-rec.org Language: English - Date: 2005-03-07 07:13:44 Multivariate statistics Face recognition Statistical classification Singular value decomposition Machine learning Linear discriminant analysis Discriminant Eigenface Principal component analysis Statistics Algebra Mathematics
252	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Face Recognition in Subspaces Gregory Shakhnarovich Add to Reading List Source URL: www.face-rec.org Language: English - Date: 2004-07-13 04:39:58 Multivariate statistics Singular value decomposition Abstract algebra Matrix theory Principal component analysis Eigenvalues and eigenvectors Dimension reduction Eigenface Vector space Algebra Mathematics Linear algebra
253	On-line Estimation of Visual-Motor Models using Active Vision Martin J¨agersand, Randal Nelson Department of Computer Science, University of Rochester, Rochester, NYfjag, http://www.cs.ro Add to Reading List Source URL: www.cs.rochester.edu Language: English - Date: 1996-02-25 20:50:43 Singular value decomposition Robot control Computer vision Robotic sensing Visual Servoing Multivariate statistics Principal component analysis Jacobian matrix and determinant Eigenvalues and eigenvectors Algebra Linear algebra Mathematics
254	Appears in the Second International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA’99, Washington D. C. USA, March 22-24, Comparative Assessment of Independent Component Analysis (IC Add to Reading List Source URL: www.face-rec.org Language: English - Date: 2004-08-31 03:42:36 Statistical classification Data analysis Singular value decomposition Linear discriminant analysis Principal component analysis Independent component analysis Eigenvalues and eigenvectors Eigenface Pattern recognition Statistics Multivariate statistics Machine learning
255	Electronic Journal of Statistics Vol–695 ISSN: DOI: EJS218 Functional principal components Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2009-09-20 22:43:32 Linear algebra Data analysis Singular value decomposition Matrix theory Splines Smoothing spline Smoothing Principal component analysis Tikhonov regularization Algebra Mathematics Statistics
256	Determining the number of components in a factor model from limited noisy data Shira Kritchman and Boaz Nadler1 Department of Computer Science and Applied Mathematics Weizmann Institute of Science, P.O.Box 26, Rehovot 76 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2008-06-03 18:16:22 Data analysis Covariance and correlation Singular value decomposition Mathematical physics Summary statistics Multivariate normal distribution Principal component analysis Eigenvalues and eigenvectors Covariance matrix Statistics Algebra Mathematics
257	Fundamental Limitations of Spectral Clustering Boaz Nadler∗, Meirav Galun Department of Applied Mathematics and Computer Science Weizmann Institute of Science, Rehovot, Israelboaz.nadler,meirav.galun@weizmann.a Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2006-12-10 07:58:37 Singular value decomposition Cluster analysis Spectral clustering Information bottleneck method Eigenvalues and eigenvectors Principal component analysis Segmentation K-means clustering Graph partition Statistics Multivariate statistics Data analysis
258	Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators Boaz Nadler∗ St´ephane Lafon Ronald R. Coifman Department of Mathematics, Yale University, New Haven, CT 06520. {boaz.nadler,stephane.l Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2006-05-04 10:36:46 Multivariate statistics Singular value decomposition Matrix theory Linear algebra Markov processes Eigenvalues and eigenvectors Principal component analysis Heat equation Information bottleneck method Algebra Mathematics Statistics
259	Determining the number of components in a factor model from limited noisy data Shira Kritchman and Boaz Nadler1 Department of Computer Science and Applied Mathematics Weizmann Institute of Science, P.O.Box 26, Rehovot 76 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2008-06-03 18:16:22 Data analysis Covariance and correlation Singular value decomposition Mathematical physics Summary statistics Multivariate normal distribution Principal component analysis Eigenvalues and eigenvectors Covariance matrix Statistics Algebra Mathematics
260	SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2013-01-03 17:05:35 Matrix theory Multivariate statistics Numerical linear algebra Data analysis Principal component analysis Singular value decomposition Matrix Biplot Rank Algebra Linear algebra Mathematics

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