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Nonlinear dimensionality reduction
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151	Announcements • Presentation assignments – on class web page. • Midterm Histogram: Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2009-03-25 11:40:58 Computational statistics Isomap Dimension reduction Multidimensional scaling Riemannian manifold Geodesic Euclidean space Distance matrix Nonlinear dimensionality reduction Statistics Multivariate statistics Geometry
152	Dirichlet Component Analysis: Feature Extraction for Compositional Data Hua-Yan Wang [removed] Key Laboratory of Machine Perception (Ministry of Education), Peking University Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-04-16 23:53:32 Principal component analysis Nonlinear dimensionality reduction Kernel principal component analysis Dimension reduction Factor analysis Independent component analysis Latent Dirichlet allocation Feature extraction Compositional data Statistics Multivariate statistics Dirichlet distribution
153	Information-Theoretic Metric Learning Jason V. Davis Brian Kulis Prateek Jain Suvrit Sra Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:24:52 Mahalanobis distance Large margin nearest neighbor K-nearest neighbor algorithm Distance Supervised learning Statistical classification K q-flats Nonlinear dimensionality reduction Statistics Machine learning Multivariate statistics
154	Manifold Alignment using Procrustes Analysis Chang Wang [removed] Sridhar Mahadevan [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-06 23:51:06 Multivariate statistics Matrix theory Matrices Dimension reduction Manifold alignment Nonlinear dimensionality reduction Eigenvalues and eigenvectors Manifold Rotation matrix Algebra Mathematics Linear algebra
155	Geometry-aware Metric Learning Zhengdong Lu LUZ @ CS . UTEXAS . EDU Prateek Jain PJAIN @ CS . UTEXAS . EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:11 Multivariate statistics Statistical classification Signal processing Support vector machine Nonlinear dimensionality reduction Kernel principal component analysis Isomap Large margin nearest neighbor Supervised learning Statistics Machine learning Artificial intelligence
156	Action Respecting Embedding Michael Bowling Department of Computing Science, University of Alberta, Edmonton AB, Canada BOWLING @ CS . UALBERTA . CA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:57 Multivariate statistics Dimension reduction Computational statistics Singular value decomposition Linear algebra Nonlinear dimensionality reduction Semidefinite embedding Isomap Manifold Statistics Algebra Mathematics
157	Predicting Relative Performance of Classifiers from Samples Rui Leite [removed] Pavel Brazdil [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:53 Cross-validation Segmentation K-nearest neighbor algorithm Statistical classification Curve Object categorization from image search Nonlinear dimensionality reduction Statistics Machine learning Artificial intelligence
158	Intrinsic Dimensionality Estimation of Submanifolds in Rd Matthias Hein Max Planck Institute for Biological Cybernetics, T¨ ubingen, Germany Jean-Yves Audibert CERTIS, ENPC, Paris, France Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:02 Differential topology Dimension reduction Dimension Nonlinear dimensionality reduction Principal component analysis Riemannian manifold Estimation theory Manifold Normal distribution Statistics Multivariate statistics Data analysis
159	Statistical and Computational Analysis of Locality Preserving Projection Xiaofei He [removed] Department of Computer Science, University of Chicago, 1100 East 58th Street, Chicago, IL 60637 Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:24 Data analysis Singular value decomposition Linear algebra Matrix theory Principal component analysis Nonlinear dimensionality reduction Non-negative matrix factorization Dimension reduction Eigenvalues and eigenvectors Statistics Algebra Multivariate statistics
160	The Numerical Stability of Kernel Methods Shawn Martin Sandia National Laboratories P.O. Box 5800 Albuquerque, NM[removed]removed] Add to Reading List Source URL: www.sandia.gov Language: English - Date: 2013-12-09 16:26:42 Singular value decomposition Multivariate statistics Numerical linear algebra Matrix theory Principal component analysis Kernel principal component analysis Kernel Eigenvalues and eigenvectors Nonlinear dimensionality reduction Algebra Linear algebra Mathematics

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