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7 July 2009
- 18:3818:38, 7 July 2009 diff hist 0 N File:Fig4.jpg No edit summary current
- 18:3818:38, 7 July 2009 diff hist 0 N File:Fig3.jpg No edit summary current
- 18:3718:37, 7 July 2009 diff hist +7 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
- 18:3618:36, 7 July 2009 diff hist +122 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
- 18:3418:34, 7 July 2009 diff hist +20 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
- 18:3218:32, 7 July 2009 diff hist 0 N File:Fig2R.jpg No edit summary current
- 18:3218:32, 7 July 2009 diff hist 0 N File:Fig2L.jpg No edit summary current
- 18:2918:29, 7 July 2009 diff hist +11 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 18:2818:28, 7 July 2009 diff hist −4 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 18:2718:27, 7 July 2009 diff hist +1 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 18:2618:26, 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...'
- 18:1318:13, 7 July 2009 diff hist +151 stat946f10 No edit summary
4 July 2009
- 22:4622:46, 4 July 2009 diff hist +419 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Experiments
- 22:3022:30, 4 July 2009 diff hist +1 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 22:2922:29, 4 July 2009 diff hist +76 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 22:2722:27, 4 July 2009 diff hist +64 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 22:2622:26, 4 July 2009 diff hist −60 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 22:2522:25, 4 July 2009 diff hist +63 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 22:2022:20, 4 July 2009 diff hist +7 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 22:2022:20, 4 July 2009 diff hist +51 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Modeling real value data
- 22:0422:04, 4 July 2009 diff hist +59 learning Spectral Clustering, With Application To Speech Separation →Theorem 5
- 22:0322:03, 4 July 2009 diff hist −59 learning Spectral Clustering, With Application To Speech Separation →Cost function as upper bounds of Naive cost function
- 22:0122:01, 4 July 2009 diff hist +59 learning Spectral Clustering, With Application To Speech Separation →Theorem 1
- 21:4521:45, 4 July 2009 diff hist +187 learning Spectral Clustering, With Application To Speech Separation →Introduction
- 21:3921:39, 4 July 2009 diff hist +381 learning Spectral Clustering, With Application To Speech Separation →Experiment
- 21:3821:38, 4 July 2009 diff hist −380 learning Spectral Clustering, With Application To Speech Separation →Summary
- 21:3721:37, 4 July 2009 diff hist +382 learning Spectral Clustering, With Application To Speech Separation →Experiment
- 21:1121:11, 4 July 2009 diff hist +29 learning Spectral Clustering, With Application To Speech Separation →Spectral Clustering
- 20:5720:57, 4 July 2009 diff hist −1 learning Spectral Clustering, With Application To Speech Separation →Introduction
- 20:5720:57, 4 July 2009 diff hist +176 learning Spectral Clustering, With Application To Speech Separation →Introduction
2 July 2009
- 15:3215:32, 2 July 2009 diff hist −43 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →modeling binary data
- 15:3215:32, 2 July 2009 diff hist +42 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →modeling binary data
- 15:3015:30, 2 July 2009 diff hist 0 N File:P7.JPG No edit summary current
- 15:1915:19, 2 July 2009 diff hist +168 learning a Nonlinear Embedding by Preserving Class Neighborhood Structure →Introduction
- 10:5610:56, 2 July 2009 diff hist +3 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 10:5510:55, 2 July 2009 diff hist −6 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 10:5510:55, 2 July 2009 diff hist +2 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 10:5410:54, 2 July 2009 diff hist +2 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 10:5410:54, 2 July 2009 diff hist +2 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 10:5310:53, 2 July 2009 diff hist +5 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 10:5210:52, 2 July 2009 diff hist +1 measuring Statistical Dependence with Hilbert-Schmidt Norm →Non-negative matrix factorization (NMF)
- 10:5110:51, 2 July 2009 diff hist +144 m measuring Statistical Dependence with Hilbert-Schmidt Norm →Principle Components Analysis (PCA)
1 July 2009
- 01:2101:21, 1 July 2009 diff hist +121 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 01:1901:19, 1 July 2009 diff hist +4 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 01:1801:18, 1 July 2009 diff hist +245 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 01:1201:12, 1 July 2009 diff hist +161 neighbourhood Components Analysis →Introduction
- 01:0401:04, 1 July 2009 diff hist +11 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 01:0201:02, 1 July 2009 diff hist +4 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 00:5800:58, 1 July 2009 diff hist +186 neighbourhood Components Analysis →Stochastic Nearest Neighbours
- 00:5100:51, 1 July 2009 diff hist +36 neighbourhood Components Analysis →k-Nearest Neighbours