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7 July 2009
- 19:3819:38, 7 July 2009 diff hist 0 N File:Fig4.jpg No edit summary current
- 19:3819:38, 7 July 2009 diff hist 0 N File:Fig3.jpg No edit summary current
- 19:3719:37, 7 July 2009 diff hist +7 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
- 19:3619:36, 7 July 2009 diff hist +122 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
- 19:3419:34, 7 July 2009 diff hist +20 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
- 19:3219:32, 7 July 2009 diff hist 0 N File:Fig2R.jpg No edit summary current
- 19:3219:32, 7 July 2009 diff hist 0 N File:Fig2L.jpg No edit summary current
- 19:2919:29, 7 July 2009 diff hist +11 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 19:2819:28, 7 July 2009 diff hist −4 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 19:2719:27, 7 July 2009 diff hist +1 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 19:2619:26, 7 July 2009 diff hist +7,290 N graph Laplacian Regularization for Larg-Scale Semidefinite Programming Created page with '==Introduction== This paper is about a new approach for the discovery of low dimensional representations of high-dimensional data where, in many cases, local proximity measuremen...'
- 19:1319:13, 7 July 2009 diff hist +151 stat946f10 No edit summary
4 July 2009
- 23:4623:46, 4 July 2009 diff hist +419 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Experiments
- 23:3023:30, 4 July 2009 diff hist +1 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 23:2923:29, 4 July 2009 diff hist +76 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 23:2723:27, 4 July 2009 diff hist +64 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 23:2623:26, 4 July 2009 diff hist −60 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 23:2523:25, 4 July 2009 diff hist +63 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 23:2023:20, 4 July 2009 diff hist +7 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 23:2023:20, 4 July 2009 diff hist +51 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 23:0423:04, 4 July 2009 diff hist +59 learning Spectral Clustering, With Application To Speech Separation →Theorem 5
- 23:0323:03, 4 July 2009 diff hist −59 learning Spectral Clustering, With Application To Speech Separation →Cost function as upper bounds of Naive cost function
- 23:0123:01, 4 July 2009 diff hist +59 learning Spectral Clustering, With Application To Speech Separation →Theorem 1
- 22:4522:45, 4 July 2009 diff hist +187 learning Spectral Clustering, With Application To Speech Separation →Introduction
- 22:3922:39, 4 July 2009 diff hist +381 learning Spectral Clustering, With Application To Speech Separation →Experiment
- 22:3822:38, 4 July 2009 diff hist −380 learning Spectral Clustering, With Application To Speech Separation →Summary
- 22:3722:37, 4 July 2009 diff hist +382 learning Spectral Clustering, With Application To Speech Separation →Experiment
- 22:1122:11, 4 July 2009 diff hist +29 learning Spectral Clustering, With Application To Speech Separation →Spectral Clustering
- 21:5721:57, 4 July 2009 diff hist −1 learning Spectral Clustering, With Application To Speech Separation →Introduction
- 21:5721:57, 4 July 2009 diff hist +176 learning Spectral Clustering, With Application To Speech Separation →Introduction
2 July 2009
- 16:3216:32, 2 July 2009 diff hist −43 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →modeling binary data
- 16:3216:32, 2 July 2009 diff hist +42 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →modeling binary data
- 16:3016:30, 2 July 2009 diff hist 0 N File:P7.JPG No edit summary current
- 16:1916:19, 2 July 2009 diff hist +168 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Introduction
- 11:5611:56, 2 July 2009 diff hist +3 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 11:5511:55, 2 July 2009 diff hist −6 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 11:5511:55, 2 July 2009 diff hist +2 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 11:5411:54, 2 July 2009 diff hist +2 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 11:5411:54, 2 July 2009 diff hist +2 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 11:5311:53, 2 July 2009 diff hist +5 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 11:5211:52, 2 July 2009 diff hist +1 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 11:5111:51, 2 July 2009 diff hist +144 m measuring Statistical Dependence with Hilbert-Schmidt Norm →Principle Components Analysis (PCA)
1 July 2009
- 02:2102:21, 1 July 2009 diff hist +121 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 02:1902:19, 1 July 2009 diff hist +4 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 02:1802:18, 1 July 2009 diff hist +245 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 02:1202:12, 1 July 2009 diff hist +161 neighbourhood Components Analysis →Introduction
- 02:0402:04, 1 July 2009 diff hist +11 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 02:0202:02, 1 July 2009 diff hist +4 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 01:5801:58, 1 July 2009 diff hist +186 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 01:5101:51, 1 July 2009 diff hist +36 neighbourhood Components Analysis →k-Nearest Neighbours