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Dimension reduction
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121	PDF Document Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2015-05-11 19:23:32 Machine learning Mathematical analysis Learning Artificial intelligence Search algorithms Dimension reduction Statistical classification MinHash Nearest neighbor search Random projection K-nearest neighbors algorithm Dimensionality reduction
122	PDF Document Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2015-05-11 19:23:32 Algebra Linear algebra Mathematics Dimension reduction Matrix theory Numerical linear algebra Matrices Eigenvalues and eigenvectors Principal component analysis Matrix Orthogonal matrix Power iteration
123	Noname manuscript No. (will be inserted by the editor) Probability Enhanced Effective Dimension Reduction for Classifying Sparse Functional Data Fang Yao · Yichao Wu · Jialin Zou Add to Reading List Source URL: www.utstat.utoronto.ca Language: English - Date: 2015-10-13 23:06:18
124	BIO Web of Conferences 1, DOI: bioconf © Owned by the authors, published by EDP Sciences, 2011 Can Principal Component Analysis be Applied in Real Time to Reduce the Dimension of Human M Add to Reading List Source URL: www.bio-conferences.org Language: English Machine learning Principal component analysis Singular value decomposition Dimension reduction Variance Cross-validation Analysis Statistics Multivariate statistics Data analysis
125	Regularizers versus Losses for Nonlinear Dimensionality Reduction Yaoliang Yu, James Neufeld, Ryan Kiros, Xinhua Zhang, Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8 Canada Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-12-26 22:59:57 Multivariate statistics Dimension reduction Matrix theory Computational statistics Linear algebra Nonlinear dimensionality reduction Bregman divergence Semidefinite embedding Principal component analysis Statistics Algebra Mathematics
126	Large-Scale Manifold Learning Ameet Talwalkar Courant Institute New York, NY Sanjiv Kumar Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:24 Multivariate statistics Matrix theory Singular value decomposition Dimension reduction Nonlinear dimensionality reduction Isomap Semidefinite embedding Eigenvalues and eigenvectors Principal component analysis Algebra Mathematics Linear algebra
127	LETTER Communicated by Joshua B. Tenenbaum Laplacian Eigenmaps for Dimensionality Reduction and Data Representation Add to Reading List Source URL: www2.imm.dtu.dk Language: English - Date: 2009-08-14 05:08:50 Multivariate statistics Multivariable calculus Differential operators Singular value decomposition Dimension reduction Laplace operator Nonlinear dimensionality reduction Laplacian matrix Spectral clustering Mathematical analysis Mathematics Calculus
128	REPORTS 23; right 36, 13, and 27); superior frontal gyrus (left ⫺9, 31, and 45; right 17, 35, andAlthough the improvement in WM performance with cholinergic enhancement was a nonsignificant trend in the curre Add to Reading List Source URL: www2.imm.dtu.dk Language: English - Date: 2009-08-14 05:08:08 Computational statistics Isomap Nonlinear dimensionality reduction Machine learning Multidimensional scaling Principal component analysis Manifold Geodesic Differentiable manifold Statistics Multivariate statistics Dimension reduction
129	Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference David Mimno Dept. of Information Science Cornell University Ithaca, NY, 14853 Add to Reading List Source URL: mimno.infosci.cornell.edu Language: English - Date: 2014-10-16 01:54:56 Multivariate statistics Statistical natural language processing Natural language processing Computational linguistics Dimension reduction Principal component analysis Nonlinear dimensionality reduction Latent Dirichlet allocation Randomized algorithm Statistics Mathematics Probability and statistics
130	MainGorbanKeglWunschZin.dvi Add to Reading List Source URL: www.ihes.fr Language: English - Date: 2009-09-10 07:49:58 Multivariate statistics Dimension reduction Data analysis Principal component analysis Singular value decomposition Elastic energy Elastic map Derivative Vector space Algebra Mathematics Statistics

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