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Kernel principal component analysis
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111	Computational tractability of machine learning algorithms for tall fat data VIKAS CHANDRAKANT RAYKAR, University of Maryland, CollegePark Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-10-27 09:51:07 Multivariate statistics Signal processing Statistical classification Kernel density estimation Kernel regression Multivariate kernel density estimation Supervised learning Gaussian function Kernel principal component analysis Statistics Non-parametric statistics Machine learning
112	Fast computation of sums of Gaussians in high dimensions VIKAS CHANDRAKANT RAYKAR, CHANGJIANG YANG, RAMANI DURAISWAMI, and NAIL GUMEROV Perceptual Interfaces and Reality Laboratory Department of Computer Science and Inst Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-04-08 19:07:52 Multivariate statistics Singular value decomposition Normal distribution Gaussian function Kernel principal component analysis Principal component analysis Kernel regression Eigenvalues and eigenvectors Taylor series Mathematical analysis Statistics Algebra
113	The improved fast Gauss transform with applications to machine learning Vikas C. Raykar and Ramani Duraiswami University of Maryland, CollegePark {vikas,ramani}@cs.umd.edu Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2005-12-15 12:21:38 Gaussian function Non-parametric statistics Multivariate statistics Signal processing Statistical classification Kernel principal component analysis Kernel density estimation Positive-definite kernel Gaussian process Statistics Machine learning Mathematics
114	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.ncbi.nlm.nih.gov Language: English Regression analysis Machine learning Singular value decomposition Least squares support vector machine Support vector machine Dimension reduction Kernel principal component analysis Principal component analysis Feature selection Statistics Multivariate statistics Statistical classification
115	A Dependence Maximization View of Clustering Le Song Add to Reading List Source URL: machinelearning.wustl.edu Language: English - Date: 2013-05-14 23:21:47 Singular value decomposition Cluster analysis Kernel principal component analysis Signal processing Spectral clustering K-means clustering Hierarchical clustering Principal component analysis Eigenvalues and eigenvectors Statistics Multivariate statistics Data analysis
116	A Tutorial on Principal Component Analysis Jonathon Shlens∗ Systems Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-11-21 15:40:36 Matrices Functional analysis Singular value decomposition Data analysis Principal component analysis Kernel principal component analysis Covariance matrix Eigenvalues and eigenvectors Diagonalizable matrix Algebra Mathematics Linear algebra
117	Max-Planck-Institut für biologische Kybernetik Arbeitsgruppe Bülthoff Add to Reading List Source URL: www.face-rec.org Language: English - Date: 2004-07-01 14:05:38 Multivariate statistics Linear algebra Singular value decomposition Abstract algebra Signal processing Kernel principal component analysis Principal component analysis Dimension reduction Eigenvalues and eigenvectors Algebra Statistics Mathematics
118	PDF Document Add to Reading List Source URL: ranger.uta.edu Language: English - Date: 2006-12-15 06:20:01 Data analysis Singular value decomposition Kernel principal component analysis Signal processing Principal component analysis Spectral clustering Cluster analysis K-means clustering Dimension reduction Statistics Multivariate statistics Machine learning
119	PDF Document Add to Reading List Source URL: www.stat.sinica.edu.tw Language: English - Date: 2011-04-12 22:54:17 Reproducing kernel Hilbert space Kernel Principal component analysis Positive-definite kernel Correlation and dependence Canonical correlation Dimension reduction Linear map Statistics Multivariate statistics Canonical analysis
120	PDF Document Add to Reading List Source URL: www.snl.salk.edu Language: English - Date: 2009-04-22 17:20:26 Matrices Singular value decomposition Matrix theory Multivariate statistics Principal component analysis Eigenvalues and eigenvectors Covariance matrix Kernel principal component analysis Diagonalizable matrix Algebra Linear algebra Mathematics

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