User contributions for R2jiwraj
Jump to navigation
Jump to search
7 July 2009
- 09:5909:59, 7 July 2009 diff hist +36 convex and Semi Nonnegative Matrix Factorization →Convex NMF=
- 09:5709:57, 7 July 2009 diff hist +9 convex and Semi Nonnegative Matrix Factorization →Introduction
- 09:5709:57, 7 July 2009 diff hist +1 convex and Semi Nonnegative Matrix Factorization →Introduction
- 09:5309:53, 7 July 2009 diff hist +16,377 N convex and Semi Nonnegative Matrix Factorization Created page with 'Convex and Semi NMF In the paper ‘Convex and semi non negative matrix factorization’, Jordan et al <ref> Ding C, Li. T, and Jordan I. M; “Convex and semi nonnegative matri...'
- 09:4109:41, 7 July 2009 diff hist +108 stat946f10 No edit summary
2 July 2009
- 19:5219:52, 2 July 2009 diff hist +214 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 19:5019:50, 2 July 2009 diff hist +32 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →modeling binary data
- 19:4519:45, 2 July 2009 diff hist +168 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Experiments
- 19:3019:30, 2 July 2009 diff hist +91 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Proposed Method
- 19:2719:27, 2 July 2009 diff hist +45 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Proposed Method
- 19:1519:15, 2 July 2009 diff hist 0 learning Spectral Clustering, With Application To Speech Separation →Theorem 1
- 19:1419:14, 2 July 2009 diff hist 0 learning Spectral Clustering, With Application To Speech Separation →Theorem 1
- 19:1319:13, 2 July 2009 diff hist −5 learning Spectral Clustering, With Application To Speech Separation →Theorem 1
- 19:1219:12, 2 July 2009 diff hist +2 learning Spectral Clustering, With Application To Speech Separation →Theorem 1
- 19:1119:11, 2 July 2009 diff hist +1 learning Spectral Clustering, With Application To Speech Separation →Theorem 1
- 19:0919:09, 2 July 2009 diff hist +3 learning Spectral Clustering, With Application To Speech Separation →Theorem 1
- 19:0819:08, 2 July 2009 diff hist +156 learning Spectral Clustering, With Application To Speech Separation →Theorem 1
- 19:0319:03, 2 July 2009 diff hist 0 learning Spectral Clustering, With Application To Speech Separation →The matrix representation of Normalized cut
- 19:0119:01, 2 July 2009 diff hist +87 learning Spectral Clustering, With Application To Speech Separation →Normalized cut
- 18:5718:57, 2 July 2009 diff hist +1 learning Spectral Clustering, With Application To Speech Separation →Clustering
- 18:5618:56, 2 July 2009 diff hist +53 learning Spectral Clustering, With Application To Speech Separation →Clustering
- 18:5418:54, 2 July 2009 diff hist +107 learning Spectral Clustering, With Application To Speech Separation →Clustering
- 17:3217:32, 2 July 2009 diff hist +5 schedule946 No edit summary
1 July 2009
- 11:4711:47, 1 July 2009 diff hist 0 sparse PCA →Problem Formulation
- 11:4611:46, 1 July 2009 diff hist +570 sparse PCA →Problem Formulation
- 11:3011:30, 1 July 2009 diff hist 0 sparse PCA →Introduction
- 11:2111:21, 1 July 2009 diff hist +59 sparse PCA →Problem Formulation
- 11:0811:08, 1 July 2009 diff hist +278 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 11:0411:04, 1 July 2009 diff hist +10 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 11:0311:03, 1 July 2009 diff hist +5 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 11:0211:02, 1 July 2009 diff hist +23 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 10:4910:49, 1 July 2009 diff hist 0 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 10:4910:49, 1 July 2009 diff hist +7 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 10:4810:48, 1 July 2009 diff hist +121 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 10:3910:39, 1 July 2009 diff hist +14 neighbourhood Components Analysis →k-Nearest Neighbours
29 June 2009
- 21:5321:53, 29 June 2009 diff hist +6 proposal for STAT946 projects →By: Ruchi Jiwrajka and Dennis Zhuang
- 21:5221:52, 29 June 2009 diff hist +4,303 proposal for STAT946 projects →Project 3: LLE and noisy data
- 21:4721:47, 29 June 2009 diff hist +3 proposal for STAT946 projects No edit summary
- 21:4621:46, 29 June 2009 diff hist +87 proposal for STAT946 projects No edit summary
25 June 2009
- 19:5919:59, 25 June 2009 diff hist 0 measuring Statistical Dependence with Hilbert-Schmidt Norm →Introduction
- 19:5819:58, 25 June 2009 diff hist +546 measuring Statistical Dependence with Hilbert-Schmidt Norm →RKHS Theory
- 19:4519:45, 25 June 2009 diff hist +229 dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →Determinant Formulation
- 19:3819:38, 25 June 2009 diff hist +321 dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →Original Problem
- 19:3119:31, 25 June 2009 diff hist 0 dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →Condditonal Covariance Operators and Condtional Indpendence
- 19:3119:31, 25 June 2009 diff hist +68 dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →Condditonal Covariance Operators and Condtional Indpendence
- 19:2919:29, 25 June 2009 diff hist +7 dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →Condditonal Covariance Operators and Condtional Indpendence
- 19:2919:29, 25 June 2009 diff hist +105 dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →Condditonal Covariance Operators and Condtional Indpendence
- 19:2419:24, 25 June 2009 diff hist +125 dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →Evaluation of Size of Self-adjoint Operators
- 18:2418:24, 25 June 2009 diff hist +4 paper 13 →Applications
- 18:2418:24, 25 June 2009 diff hist +3 paper 13 →Applications