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Kernel principal component analysis
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#	Item
71	Learning a Kernel Matrix for Nonlinear Dimensionality Reduction Kilian Q. Weinberger [removed] Fei Sha [removed] Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:01 Dimension reduction Computational statistics Singular value decomposition Signal processing Nonlinear dimensionality reduction Kernel principal component analysis Semidefinite embedding Isomap Kernel methods Statistics Machine learning Multivariate statistics
72	Regression on Manifolds Using Kernel Dimension Reduction Jens Nilsson Centre for Mathematical Sciences, Lund University, Box 118, SE[removed]Lund, Sweden Fei Sha Computer Science Division, University of California, Berke Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:01 Multivariate statistics Nonlinear dimensionality reduction Dimension reduction Principal component analysis Sufficient dimension reduction Manifold Eigenvalues and eigenvectors Projection Linear discriminant analysis Statistics Mathematics Algebra
73	Unsupervised Kernel Dimension Reduction Meihong Wang Dept. of Computer Science U. of Southern California Los Angeles, CA 90089 Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:02 Dimension reduction Nonlinear dimensionality reduction Kernel principal component analysis Principal component analysis Supervised learning Sliced inverse regression Sufficient dimension reduction Gaussian function Projection Statistics Mathematics Multivariate statistics
74	Microsoft PowerPoint - LONGO.pptx Add to Reading List Source URL: www.kiss.caltech.edu Language: English - Date: 2011-06-10 16:42:41 Econometrics Multivariate statistics Formal sciences Kernel density estimation Data mining Machine learning Principal component analysis Density estimation Support vector machine Statistics Non-parametric statistics Data analysis
75	Dimensionality Reduction A Short Tutorial Ali Ghodsi Department of Statistics and Actuarial Science University of Waterloo Waterloo, Ontario, Canada, 2006 Add to Reading List Source URL: www.math.uwaterloo.ca Language: English - Date: 2006-09-22 01:34:17 Dimension reduction Signal processing Singular value decomposition Data analysis Principal component analysis Nonlinear dimensionality reduction Kernel principal component analysis Isomap Eigenvalues and eigenvectors Statistics Algebra Multivariate statistics
76	Unifying Linear Dimensionality Reduction arXiv:1406.0873v1 [stat.ML] 3 Jun 2014 John P. Cunningham [removed] Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-06-04 20:24:22 Mathematics Principal component analysis Nonlinear dimensionality reduction Kernel principal component analysis Dimension reduction Linear discriminant analysis Singular value decomposition Factor analysis Projection Statistics Algebra Multivariate statistics
77	Learning Non-Linear Combinations of Kernels Corinna Cortes Google Research 76 Ninth Ave New York, NY 10011 Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2013-12-23 11:30:52 Abstract algebra Linear algebra Hilbert space Signal processing Statistical classification Support vector machine Kernel principal component analysis Kernel Reproducing kernel Hilbert space Algebra Mathematics Statistics
78	Some examples of use of the GeoXp package (version[removed]T. Laurent∗, A. Ruiz-Gazen†and C. Thomas-Agnan‡ Toulouse School of Economics January 18, 2012 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:52:11 Data analysis Multivariate statistics Function Principal component analysis Cartesian coordinate system Matrix Kernel density estimation Scatter plot R Statistics Mathematics Elementary mathematics
79	Sampled forms of functional PCA in reproducing kernel Hilbert spaces Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-02-05 16:33:58 Linear algebra Abstract algebra Hilbert space Singular value decomposition Positive-definite kernel Reproducing kernel Hilbert space Eigenvalues and eigenvectors Principal component analysis Von Neumann algebra Algebra Mathematics Operator theory
80	Kernel methods in machine learning Add to Reading List Source URL: www.kernel-machines.org Language: English - Date: 2008-11-11 03:43:22 Operator theory Hilbert space Linear algebra Signal processing Positive-definite kernel Reproducing kernel Hilbert space Kernel trick Fourier analysis Kernel principal component analysis Mathematics Mathematical analysis Algebra

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