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Nonlinear dimensionality reduction
Results: 210

#	Item
131	From sBoW to dCoT Marginalized Encoders for Text Representation ∗ Zhixiang (Eddie) Xu Minmin Chen Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2013-09-10 15:56:19 Information retrieval Machine learning Natural language processing Statistical natural language processing Data mining Vector space model Latent semantic analysis Latent semantic indexing Nonlinear dimensionality reduction Information science Science Statistics
132	BAYESIAN METRIC MULTIDIMENSIONAL SCALING by Ryan Bakker Keith T. Poole Add to Reading List Source URL: voteview.com Language: English - Date: 2012-10-16 15:02:37 Probability and statistics Market research Multidimensional scaling Monte Carlo method Nonlinear dimensionality reduction Locating engine Statistics Multivariate statistics Psychometrics
133	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
134	Maximum Likelihood Estimation of Intrinsic Dimension Elizaveta Levina Department of Statistics University of Michigan Ann Arbor MI[removed] Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2007-07-25 07:29:15 Statistical inference Data analysis Statistical theory Maximum likelihood Nonlinear dimensionality reduction Principal component analysis Estimator Regression analysis Correlation dimension Statistics Estimation theory Multivariate statistics
135	Locally linear denoising on image manifolds Dian Gong Dept. of Electrical Engineering Univ. 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 Nonlinear dimensionality reduction Noise reduction Filter Supervised learning Machine learning Algorithm K-nearest neighbor algorithm Segmentation Principal component analysis Statistics Image processing Image denoising
136	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
137	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
138	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
139	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
140	Computing Semantics of Preference with a Semantic Cognitive Map of Natural Language: Application to Mood Sensing from Text Alexei V. Samsonovich and Giorgio A. Ascoli Krasnow Institute for Advanced Study, George Mason Un Add to Reading List Source URL: binf.gmu.edu Language: English - Date: 2008-05-06 07:04:32 Linguistics Multidimensional scaling Semantics Latent semantic analysis Nonlinear dimensionality reduction Opposite Isomap Cognitive science Language Statistics Multivariate statistics Science

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