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Semidefinite embedding
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#	Item
1	Unsupervised Image Embedding Using Nonparametric Statistics Guobiao Mei University of California, Riverside Abstract Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:19 Mathematics Statistics Dimension reduction Topology Multivariate statistics Computational statistics Machine learning Dimension Nonlinear dimensionality reduction Isomap Semidefinite embedding Embedding
2	Discussion of “Spectral Dimensionality Reduction via Maximum Entropy” Laurens van der Maaten Delft University of Technology Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Dimension reduction Computational statistics Machine learning Dimension Nonlinear dimensionality reduction Dimensionality reduction Isomap Semidefinite embedding Spectral clustering Kernel principal component analysis T-distributed stochastic neighbor embedding
3	Tilburg centre for Creative Computing Tilburg University http://www.uvt.nl/ticc P.O. BoxLE Tilburg, The Netherlands Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Dimension reduction Machine learning Computational statistics Dimension Nonlinear dimensionality reduction Dimensionality reduction Isomap Principal component analysis Kernel principal component analysis Semidefinite embedding Kernel method
4	Journal of Machine Learning Research450 Submitted 11/07; Revised 11/09; Published 1/10 Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting Add to Reading List Source URL: www.cs.stevens.edu Language: English - Date: 2010-02-04 17:27:11 Multivariate statistics Dimension reduction Computational statistics Machine learning Isomap Dimensionality reduction Nonlinear dimensionality reduction Semidefinite embedding Principal component analysis Tensor Manifold Multidimensional scaling
5	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
6	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
7	From Region Similarity to Category Discovery Carolina Galleguillos† Brian McFee† Serge Belongie† Gert Lanckriet‡ † Computer Science and Engineering Department Add to Reading List Source URL: bmcfee.github.io Language: English - Date: 2015-03-31 11:15:28 K-nearest neighbor algorithm Supervised learning Support vector machine Large margin nearest neighbor Semidefinite embedding Statistical classification Spectral clustering Positive-definite kernel Statistics Machine learning Artificial intelligence
8	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: webdocs.cs.ualberta.ca Language: English - Date: 2012-09-28 23:24:23 Multivariate statistics Dimension reduction Matrix theory Computational statistics Linear algebra Nonlinear dimensionality reduction Bregman divergence Semidefinite embedding Principal component analysis Statistics Algebra Mathematics
9	Journal of Machine Learning Research2605 Submitted 5/08; Revised 9/08; PublishedVisualizing Data using t-SNE Laurens van der Maaten Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2015-04-12 20:13:26 Dimension reduction Cluster analysis Dimension Nonlinear dimensionality reduction Semidefinite embedding Multidimensional scaling Mixture model Principal component analysis Supervised learning Statistics Multivariate statistics Machine learning
10	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

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