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Kernel principal component analysis
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51	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Short Papers DECEMBER 2008 Add to Reading List Source URL: www.lv-nus.org Language: English - Date: 2009-08-08 01:49:30 Machine learning Computational statistics Statistical classification Kernel methods Linear discriminant analysis Nonlinear dimensionality reduction Semidefinite embedding Feature extraction Principal component analysis Statistics Multivariate statistics Dimension reduction
52	A Comparative Analysis between KSVMs and KPCA plus LDA: Enhancing the Performance Exploratory Yuki Nakagami (Email: [removed]) Department of Statistics, Western Michigan University Abstract Add to Reading List Source URL: www.stat.wmich.edu Language: English - Date: 2015-03-26 17:13:43 Statistical classification Linear discriminant analysis Signal processing Support vector machine Kernel methods Principal component analysis Kernel principal component analysis Dimension reduction Mlpy Statistics Machine learning Multivariate statistics
53	Kernel Measures of Independence for non-iid Data∗ Le Song† School of Computer Science Carnegie Mellon University, Pittsburgh, USA [removed] Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-06-21 14:46:49 Multivariate statistics Statistical dependence Estimation theory Expectation–maximization algorithm Missing data Covariance Mutual information Convolution Principal component analysis Statistics Mathematical analysis Covariance and correlation
54	Classification on Proximity Data with LP–Machines Thore Graepel , Ralf Herbrich , Bernhard Sch¨olkopfy z , Alex Smolay z Peter Bartletty, Klaus–Robert M¨ullerz , Klaus Obermayer , Robert Williamsony y Australian Na Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 08:24:17 Statistical classification Linear algebra Vectors Multivariate statistics Signal processing Support vector machine Vector space Kernel principal component analysis Positive-definite kernel Algebra Statistics Mathematics
55	© Journal of Information Hiding and Multimedia Signal Processing 2014 ISSN[removed]Ubiquitous International Volume 5, Number 1, January 2014 Add to Reading List Source URL: bit.kuas.edu.tw Language: English - Date: 2014-09-05 15:18:19 Linear algebra Hilbert space Gaussian function Non-parametric statistics Multivariate statistics Kernel methods Kernel principal component analysis Support vector machine Kernel Mathematics Statistics Algebra
56	ARTICLE Communicated by Vladimir Vapnik Estimating the Support of a High-Dimensional Distribution Bernhard Sch olkopf Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2001-08-21 03:24:53 Signal processing Non-parametric statistics Kernel principal component analysis Kernel density estimation Mathematical optimization Vector space Gaussian function Supervised learning Support vector machine Algebra Statistics Mathematics
57	The Annals of Applied Statistics 2008, Vol. 2, No. 3, 777–807 DOI: [removed]AOAS165 © Institute of Mathematical Statistics, 2008 HORSESHOES IN MULTIDIMENSIONAL SCALING AND LOCAL Add to Reading List Source URL: 5harad.com Language: English - Date: 2014-09-24 20:04:52 Mathematics Nonlinear dimensionality reduction Multidimensional scaling Isomap Principal component analysis Eigenvalues and eigenvectors Kernel principal component analysis Matrix Distance matrix Statistics Multivariate statistics Algebra
58	Direct Kernel Partial Least Squares (DK-PLS): Feature Selection with Sensitivity Analysis Mark J. Embrechts () Kristin Bennett www.drugmining.com Add to Reading List Source URL: clopinet.com Language: English* - Date: 2003-12-19 16:44:36 Partial least squares regression Kernel methods Kernel principal component analysis Support vector machine Kernel Feature selection Principal component analysis Mlpy Statistics Machine learning Multivariate statistics
59	Nonlinear Latent Variable Models for Video Sequences Ali Rahimi CSAIL Mass. Inst. Technology Add to Reading List Source URL: cba.mit.edu Language: English - Date: 2011-12-13 18:32:02 Multivariate statistics Linear algebra Signal processing Abstract algebra Functions and mappings Nonlinear dimensionality reduction Kalman filter Expectation–maximization algorithm Kernel principal component analysis Statistics Mathematics Algebra
60	Correlational Spectral Clustering Matthew B. Blaschko Christoph H. Lampert Max Planck Institute for Biological Cybernetics[removed]T¨ubingen, Germany {blaschko,chl}@tuebingen.mpg.de Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2011-01-20 08:10:46 Cluster analysis K-means clustering Hierarchical clustering Spectral clustering Linear discriminant analysis Eigenvalues and eigenvectors Graph partition Segmentation Statistics Multivariate statistics Kernel principal component analysis