Kernel principal component analysis

Results: 128



#Item
101Signal processing / Linear algebra / Hilbert space / Kernel principal component analysis / Kernel / Reproducing kernel Hilbert space / Linux kernel / Bag of words model in computer vision / Multivariate kernel density estimation / Statistics / Mathematics / Algebra

Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]CBCL-290 July 30, 2010

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Source URL: cbcl.mit.edu

Language: English - Date: 2010-08-23 13:55:54
102K-means clustering / Kernel principal component analysis / Statistics / Multivariate statistics / Principal component analysis

Topic 4: Data Exploring Tools

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Source URL: www.fda.gov

Language: English
103Multivariate statistics / Data mining / Machine learning / Linear algebra / Matrix theory / Spectral clustering / Cluster analysis / Kernel principal component analysis / K-means clustering / Statistics / Mathematics / Algebra

Efficient Kernel Clustering Using Random Fourier Features Radha Chitta, Rong Jin and Anil K. Jain Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA [removed], r

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Source URL: biometrics.cse.msu.edu

Language: English - Date: 2012-10-17 14:03:01
104Support vector machines / Least squares support vector machine / Kernel methods / Cross-validation / Quantitative structure–activity relationship / Supervised learning / Linear classifier / Kernel principal component analysis / Shogun / Statistics / Machine learning / Statistical classification

CHAPTER 6 Ovidiu Ivanciuc. Applications of Support Vector Machines in Chemistry. In: Reviews in Computational Chemistry, Volume 23, Eds.: K. B. Lipkowitz and T. R. Cundari. Wiley-VCH, Weinheim, 2007, pp. 291–400. Appl

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Source URL: www.ivanciuc.org

Language: English - Date: 2009-01-18 01:27:31
105Principal component analysis / Singular value decomposition / Kernel principal component analysis / Statistics / Multivariate statistics / Data analysis

The Fast Convergence of Incremental PCA Akshay Balsubramani UC San Diego [removed]

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Source URL: cseweb.ucsd.edu

Language: English - Date: 2013-11-09 09:11:35
106Geostatistics / Kernel methods / Machine learning / Support vector machine / Nello Cristianini / Kernel / Principal component analysis / Linear discriminant analysis / Linux kernel / Statistics / Statistical classification / Multivariate statistics

Kernel Methods for General Pattern Analysis Nello Cristianini University of California, Davis [removed]

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Source URL: www.kernel-methods.net

Language: English - Date: 2008-03-17 13:45:12
107Principal component analysis / Nonlinear dimensionality reduction / Dimension reduction / Non-negative matrix factorization / Kullback–Leibler divergence / Markov decision process / Singular value decomposition / Divergence / Kernel principal component analysis / Statistics / Multivariate statistics / Partially observable Markov decision process

in Advances in Neural Information Processing Systems 15 S. Becker, S. Thrun and K. Obermayer (eds.), MIT Press[removed]Exponential Family PCA for Belief Compression in POMDPs

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Source URL: www.cs.cmu.edu

Language: English - Date: 2003-06-04 12:36:51
108Multivariate statistics / Dimension reduction / Machine learning / Linear algebra / Computational statistics / Nonlinear dimensionality reduction / Principal component analysis / Kernel principal component analysis / Semidefinite embedding / Statistics / Algebra / Mathematics

Dimensionality Reduction: A Comparative Review L.J.P. van der Maaten ∗ , E.O. Postma, H.J. van den Herik MICC, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands. Abstract In recent years, a varie

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Source URL: www.iai.uni-bonn.de

Language: English - Date: 2008-02-22 18:13:40
109Gaussian function / Multivariate statistics / Signal processing / Statistical classification / Kernel density estimation / Kernel principal component analysis / Support vector machine / Kernel methods / Kernel / Statistics / Machine learning / Non-parametric statistics

The improved fast Gauss transform with applications to machine learning Vikas C. Raykar and Ramani Duraiswami

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Source URL: www.umiacs.umd.edu

Language: English - Date: 2006-10-16 11:26:39
110Multivariate statistics / Signal processing / Statistical classification / Exponentials / Gaussian function / Kernel regression / Kernel principal component analysis / Kernel density estimation / Multivariate kernel density estimation / Statistics / Machine learning / Non-parametric statistics

Large Scale Kernel Machines Editors:

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Source URL: www.umiacs.umd.edu

Language: English - Date: 2006-11-10 14:46:47
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