User contributions for Myakhave
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14 August 2009
- 18:4918:49, 14 August 2009 diff hist +20 convex and Semi Nonnegative Matrix Factorization →SVD, Convex-NMF and Semi-NMF Comparison
- 18:4218:42, 14 August 2009 diff hist +35 convex and Semi Nonnegative Matrix Factorization →SVD, Convex-NMF and Semi-NMF Comparison
- 18:4018:40, 14 August 2009 diff hist −2 convex and Semi Nonnegative Matrix Factorization →SVD, Convex-NMF and Semi-NMF Comparison
- 18:4018:40, 14 August 2009 diff hist +144 convex and Semi Nonnegative Matrix Factorization →SVD, Convex-NMF and Semi-NMF comparison
- 18:2718:27, 14 August 2009 diff hist +541 convex and Semi Nonnegative Matrix Factorization →Convex NMF
13 August 2009
- 21:0921:09, 13 August 2009 diff hist +92 maximum-Margin Matrix Factorization →A short discussion on Loss Function for classification
- 20:3720:37, 13 August 2009 diff hist +3 maximum-Margin Matrix Factorization →Hinge Loss Function
- 20:3220:32, 13 August 2009 diff hist +12 maximum-Margin Matrix Factorization →Limitation
- 19:2319:23, 13 August 2009 diff hist +302 maximum-Margin Matrix Factorization →Experiments
28 July 2009
- 21:1621:16, 28 July 2009 diff hist −154 relevant Component Analysis →First paper: Shental et al., 2002 N. Shental, T. Hertz, D. Weinshall, and M. Pavel, "Adjustment Learning and Relevant Component Analysis," Proc. European Conference on Computer Vision (ECCV), 2002, pp. 776-790.
- 21:1021:10, 28 July 2009 diff hist +410 relevant Component Analysis →First paper: Shental et al., 2002 N. Shental, T. Hertz, D. Weinshall, and M. Pavel, "Adjustment Learning and Relevant Component Analysis," Proc. European Conference on Computer Vision (ECCV), 2002, pp. 776-790.
- 20:5220:52, 28 July 2009 diff hist −16 relevant Component Analysis →First paper: Shental et al., 2002 N. Shental, T. Hertz, D. Weinshall, and M. Pavel, "Adjustment Learning and Relevant Component Analysis," Proc. European Conference on Computer Vision (ECCV), 2002, pp. 776-790.
- 20:4920:49, 28 July 2009 diff hist −381 relevant Component Analysis →First paper: Shental et al., 2002 N. Shental, T. Hertz, D. Weinshall, and M. Pavel, "Adjustment Learning and Relevant Component Analysis," Proc. European Conference on Computer Vision (ECCV), 2002, pp. 776-790.
- 20:4320:43, 28 July 2009 diff hist +11 relevant Component Analysis →First paper: Shental et al., 2002 N. Shental, T. Hertz, D. Weinshall, and M. Pavel, "Adjustment Learning and Relevant Component Analysis," Proc. European Conference on Computer Vision (ECCV), 2002, pp. 776-790.
- 20:4320:43, 28 July 2009 diff hist −9 relevant Component Analysis →First paper: Shental et al., 2002 N. Shental, T. Hertz, D. Weinshall, and M. Pavel, "Adjustment Learning and Relevant Component Analysis," Proc. European Conference on Computer Vision (ECCV), 2002, pp. 776-790.
- 20:4220:42, 28 July 2009 diff hist −4 relevant Component Analysis →First paper: Shental et al., 2002 N. Shental, T. Hertz, D. Weinshall, and M. Pavel, "Adjustment Learning and Relevant Component Analysis," Proc. European Conference on Computer Vision (ECCV), 2002, pp. 776-790.
- 20:4120:41, 28 July 2009 diff hist −2 relevant Component Analysis →First paper: Shental et al., 2002 N. Shental, T. Hertz, D. Weinshall, and M. Pavel, "Adjustment Learning and Relevant Component Analysis," Proc. European Conference on Computer Vision (ECCV), 2002, pp. 776-790.
- 20:4020:40, 28 July 2009 diff hist +577 relevant Component Analysis →First paper: Shental et al., 2002 N. Shental, T. Hertz, D. Weinshall, and M. Pavel, "Adjustment Learning and Relevant Component Analysis," Proc. European Conference on Computer Vision (ECCV), 2002, pp. 776-790.
- 17:5717:57, 28 July 2009 diff hist +211 visualizing Data using t-SNE →Compensation for Mismatched Dimensionality by Mismatched Tails
- 17:4017:40, 28 July 2009 diff hist +134 visualizing Data using t-SNE →The Crowding Problem
- 17:3417:34, 28 July 2009 diff hist +2 visualizing Data using t-SNE →The Crowding Problem
- 17:3117:31, 28 July 2009 diff hist +2 visualizing Data using t-SNE →The Crowding Problem
- 17:3117:31, 28 July 2009 diff hist +2 visualizing Data using t-SNE →The Crowding Problem
- 17:3017:30, 28 July 2009 diff hist +250 visualizing Data using t-SNE →The Crowding Problem
- 17:1717:17, 28 July 2009 diff hist +135 visualizing Data using t-SNE →The Crowding Problem
10 July 2009
- 20:2620:26, 10 July 2009 diff hist +12 visualizing Similarity Data with a Mixture of Maps →Modeling Human Word Association Data
- 20:2120:21, 10 July 2009 diff hist +179 visualizing Similarity Data with a Mixture of Maps →Modeling Human Word Association Data
- 20:1520:15, 10 July 2009 diff hist +386 visualizing Similarity Data with a Mixture of Maps →Modeling Human Word Association Data
- 19:4819:48, 10 July 2009 diff hist 0 independent Component Analysis: algorithms and applications →Finding hidden factors in financial data
- 19:4719:47, 10 July 2009 diff hist +231 independent Component Analysis: algorithms and applications →Finding hidden factors in financial data
- 19:4419:44, 10 July 2009 diff hist +679 independent Component Analysis: algorithms and applications →Applications
- 19:2719:27, 10 July 2009 diff hist +1 independent Component Analysis: algorithms and applications →Why Gaussian variables are forbidden
- 19:2119:21, 10 July 2009 diff hist −169 independent Component Analysis: algorithms and applications →Independence versus uncorrelatedness
- 19:2019:20, 10 July 2009 diff hist +313 independent Component Analysis: algorithms and applications →Independence versus uncorrelatedness
- 19:1619:16, 10 July 2009 diff hist +398 independent Component Analysis: algorithms and applications →Independence versus uncorrelatedness
- 19:0619:06, 10 July 2009 diff hist +246 independent Component Analysis: algorithms and applications →Why Gaussian variables are forbidden
- 11:4411:44, 10 July 2009 diff hist +4 visualizing Similarity Data with a Mixture of Maps →Stochastic Neighbour Embedding
- 11:3911:39, 10 July 2009 diff hist +20 visualizing Similarity Data with a Mixture of Maps →Stochastic Neighbour Embedding
- 11:3811:38, 10 July 2009 diff hist +592 visualizing Similarity Data with a Mixture of Maps →Stochastic Neighbour Embedding
- 11:1311:13, 10 July 2009 diff hist +1 visualizing Similarity Data with a Mixture of Maps →Introduction
- 10:5910:59, 10 July 2009 diff hist +147 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 10:5610:56, 10 July 2009 diff hist +74 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
- 10:5510:55, 10 July 2009 diff hist 0 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
- 10:5310:53, 10 July 2009 diff hist +37 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
8 July 2009
- 23:2523:25, 8 July 2009 diff hist +165 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Introduction
- 23:2223:22, 8 July 2009 diff hist +14 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →References
- 23:2123:21, 8 July 2009 diff hist 0 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Introduction
- 23:2023:20, 8 July 2009 diff hist +16 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 23:2023:20, 8 July 2009 diff hist +260 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Introduction
- 23:1923:19, 8 July 2009 diff hist +12 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Introduction
- 23:1123:11, 8 July 2009 diff hist +16 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Work on this issue so far
- 23:0923:09, 8 July 2009 diff hist +28 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Conclusion
- 17:2317:23, 8 July 2009 diff hist −25 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 17:2317:23, 8 July 2009 diff hist +2 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 17:2317:23, 8 July 2009 diff hist +1 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 17:2317:23, 8 July 2009 diff hist +22 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 17:0017:00, 8 July 2009 diff hist +12 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Kernel Matrix Factorization
- 15:0615:06, 8 July 2009 diff hist −71 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 14:5714:57, 8 July 2009 diff hist +11 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 11:5711:57, 8 July 2009 diff hist +7 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 11:5311:53, 8 July 2009 diff hist −15 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 11:4611:46, 8 July 2009 diff hist +2 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 11:4611:46, 8 July 2009 diff hist +1 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 11:4611:46, 8 July 2009 diff hist +1 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 11:4511:45, 8 July 2009 diff hist +47 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 11:4311:43, 8 July 2009 diff hist +465 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 10:0110:01, 8 July 2009 diff hist +3 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 10:0010:00, 8 July 2009 diff hist +3 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 09:5409:54, 8 July 2009 diff hist 0 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 09:5309:53, 8 July 2009 diff hist 0 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 09:5309:53, 8 July 2009 diff hist 0 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 09:5109:51, 8 July 2009 diff hist +26 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:5902:59, 8 July 2009 diff hist +14 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:5702:57, 8 July 2009 diff hist −8 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:5502:55, 8 July 2009 diff hist 0 N File:Fig4 .jpg No edit summary current
- 02:5502:55, 8 July 2009 diff hist 0 N File:Fig3 .jpg No edit summary current
- 02:5402:54, 8 July 2009 diff hist +82 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:5402:54, 8 July 2009 diff hist 0 N File:T2.jpg No edit summary current
- 02:5302:53, 8 July 2009 diff hist 0 N File:Fig2.jpg No edit summary
- 02:5302:53, 8 July 2009 diff hist 0 N File:T1.jpg No edit summary current
- 02:5202:52, 8 July 2009 diff hist 0 File:Fig1.jpg uploaded a new version of "File:Fig1.jpg" current
- 02:4902:49, 8 July 2009 diff hist 0 N File:Fig1.jpg No edit summary
- 02:4802:48, 8 July 2009 diff hist 0 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 02:4802:48, 8 July 2009 diff hist 0 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 02:4702:47, 8 July 2009 diff hist −1 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 02:4702:47, 8 July 2009 diff hist +2 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 02:4702:47, 8 July 2009 diff hist −2 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 02:4502:45, 8 July 2009 diff hist +1 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 02:4402:44, 8 July 2009 diff hist 0 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 02:4302:43, 8 July 2009 diff hist +36 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 02:3602:36, 8 July 2009 diff hist +1 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 02:3502:35, 8 July 2009 diff hist +63 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 02:3302:33, 8 July 2009 diff hist +13 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 02:3202:32, 8 July 2009 diff hist +60 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 02:3002:30, 8 July 2009 diff hist −1 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Kernel Matrix Factorization
- 02:2902:29, 8 July 2009 diff hist +1 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Semidefinite Embedding
- 02:2902:29, 8 July 2009 diff hist −3 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Embedding the landmarks
- 02:2802:28, 8 July 2009 diff hist +7 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Embedding the landmarks
- 02:2702:27, 8 July 2009 diff hist −1 m nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Embedding the landmarks
- 02:2602:26, 8 July 2009 diff hist +26 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Reconstructing from landmarks
- 02:2602:26, 8 July 2009 diff hist +15 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Kernel Matrix Factorization
- 02:2502:25, 8 July 2009 diff hist −7 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Semidefinite Embedding
- 02:2402:24, 8 July 2009 diff hist +20 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Semidefinite Embedding
- 02:2302:23, 8 July 2009 diff hist +4 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Semidefinite Embedding
- 02:2102:21, 8 July 2009 diff hist +10 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Semidefinite Embedding
- 02:1802:18, 8 July 2009 diff hist +1 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Kernel Matrix Factorization
- 02:1702:17, 8 July 2009 diff hist −1 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Introduction
- 02:1502:15, 8 July 2009 diff hist +6 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Embedding the landmarks
- 02:1502:15, 8 July 2009 diff hist +1 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Embedding the landmarks
- 02:1402:14, 8 July 2009 diff hist +1 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Embedding the landmarks
- 02:1402:14, 8 July 2009 diff hist 0 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Embedding the landmarks
- 02:1402:14, 8 July 2009 diff hist +7 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Embedding the landmarks
- 02:1302:13, 8 July 2009 diff hist +2 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Embedding the landmarks
- 02:1102:11, 8 July 2009 diff hist +8 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Semidefinite Embedding
- 02:0902:09, 8 July 2009 diff hist 0 File:Fig1.JPG uploaded a new version of "File:Fig1.JPG"
- 02:0902:09, 8 July 2009 diff hist +13 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:0802:08, 8 July 2009 diff hist +36 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:0802:08, 8 July 2009 diff hist −1 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:0702:07, 8 July 2009 diff hist +101 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:0402:04, 8 July 2009 diff hist −19 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:0302:03, 8 July 2009 diff hist −2 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:0302:03, 8 July 2009 diff hist +1 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:0202:02, 8 July 2009 diff hist −1 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:0102:01, 8 July 2009 diff hist 0 File:Fig1.JPG uploaded a new version of "File:Fig1.JPG"
- 02:0102:01, 8 July 2009 diff hist +2 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:0002:00, 8 July 2009 diff hist 0 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 02:0002:00, 8 July 2009 diff hist +9 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 01:5901:59, 8 July 2009 diff hist +36 nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization →Experimental Results
- 01:5701:57, 8 July 2009 diff hist +5,528 N nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization Created page with '==Introduction == In recent work, Semidefinite programming (SDE) that learns a kernel matrix by maximizing variance while preserving the distance and angles between nearest neigb...'
- 01:3701:37, 8 July 2009 diff hist 0 N File:T1.JPG No edit summary current
- 01:2901:29, 8 July 2009 diff hist 0 N File:T2.JPG No edit summary current
- 01:2901:29, 8 July 2009 diff hist 0 File:Fig2.JPG uploaded a new version of "File:Fig2.JPG" current
- 01:2801:28, 8 July 2009 diff hist 0 N File:Fig4 .JPG No edit summary current
- 01:2801:28, 8 July 2009 diff hist 0 N File:Fig3 .JPG No edit summary current
- 01:2401:24, 8 July 2009 diff hist 0 N File:Fig2.JPG No edit summary
- 01:1601:16, 8 July 2009 diff hist 0 N File:Fig1.JPG No edit summary
7 July 2009
- 20:1320:13, 7 July 2009 diff hist +199 stat946f10 No edit summary
- 20:1020:10, 7 July 2009 diff hist −16 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Introduction
- 20:0920:09, 7 July 2009 diff hist +348 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Introduction
- 19:5719:57, 7 July 2009 diff hist +19 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Conclusion
- 19:5319:53, 7 July 2009 diff hist +25 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Matrix factorization
- 19:5219:52, 7 July 2009 diff hist +169 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Matrix factorization
- 19:4619:46, 7 July 2009 diff hist +6 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Work on this issue so far
- 19:4419:44, 7 July 2009 diff hist 0 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 19:4319:43, 7 July 2009 diff hist +4 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Formulation as SDP
- 19:4219:42, 7 July 2009 diff hist +103 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
- 19:4119:41, 7 July 2009 diff hist 0 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
- 19:4019:40, 7 July 2009 diff hist +99 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
- 19:4019:40, 7 July 2009 diff hist +7 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
- 19:3919:39, 7 July 2009 diff hist +36 graph Laplacian Regularization for Larg-Scale Semidefinite Programming →Results
- 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
- 01:3801:38, 1 July 2009 diff hist +3 neighbourhood Components Analysis →k-Nearest Neighbours
- 01:3401:34, 1 July 2009 diff hist +128 neighbourhood Components Analysis →k-Nearest Neighbours
- 01:1501:15, 1 July 2009 diff hist −2 sparse PCA →Problem Formulation
- 01:1401:14, 1 July 2009 diff hist +3 sparse PCA →Problem Formulation
- 01:1301:13, 1 July 2009 diff hist +165 sparse PCA →Problem Formulation
- 01:0001:00, 1 July 2009 diff hist 0 sparse PCA →Problem Formulation
- 00:5900:59, 1 July 2009 diff hist +125 sparse PCA →Problem Formulation
- 00:5500:55, 1 July 2009 diff hist +805 sparse PCA →Introduction
- 00:0500:05, 1 July 2009 diff hist +18 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
- 00:0400:04, 1 July 2009 diff hist +25 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
- 00:0200:02, 1 July 2009 diff hist −30 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
- 00:0000:00, 1 July 2009 diff hist +4 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
30 June 2009
- 23:5823:58, 30 June 2009 diff hist +145 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
- 23:5723:57, 30 June 2009 diff hist +1 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
- 23:5623:56, 30 June 2009 diff hist −13 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
- 23:5523:55, 30 June 2009 diff hist −105 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
- 23:5423:54, 30 June 2009 diff hist −12 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
- 23:5323:53, 30 June 2009 diff hist −35 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
- 23:5223:52, 30 June 2009 diff hist +153 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
- 23:4823:48, 30 June 2009 diff hist +2 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
- 23:4823:48, 30 June 2009 diff hist +46 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
- 23:3923:39, 30 June 2009 diff hist +56 measuring Statistical Dependence with Hilbert-Schmidt Norm →Efficient computation in HSIC
- 23:3723:37, 30 June 2009 diff hist +234 measuring Statistical Dependence with Hilbert-Schmidt Norm →Independence Test using HSIC
- 23:2723:27, 30 June 2009 diff hist +329 measuring Statistical Dependence with Hilbert-Schmidt Norm →HSIC advantages
- 23:1823:18, 30 June 2009 diff hist +365 measuring Statistical Dependence with Hilbert-Schmidt Norm →HSIC in terms of kernels
25 June 2009
- 16:1516:15, 25 June 2009 diff hist +284 dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →Summary
- 15:0115:01, 25 June 2009 diff hist +1 dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →Decomposition of X
- 15:0115:01, 25 June 2009 diff hist +112 dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →Decomposition of X
- 14:5614:56, 25 June 2009 diff hist +18 dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →Decomposition of X
- 14:5414:54, 25 June 2009 diff hist +219 dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces →Decomposition of X
18 June 2009
- 15:2315:23, 18 June 2009 diff hist −9 stat946f10 →Sensor Localization
- 15:2115:21, 18 June 2009 diff hist −1 stat946f10 →Sensor Localization
- 15:2015:20, 18 June 2009 diff hist +89 stat946f10 →Sensor Localization
- 15:1815:18, 18 June 2009 diff hist +8 stat946f10 →Sensor Localization
- 15:1815:18, 18 June 2009 diff hist −42 stat946f10 →Sensor Localization
- 15:1715:17, 18 June 2009 diff hist +482 stat946f10 →Page Rank
- 15:0815:08, 18 June 2009 diff hist +27 stat946f10 →Page Rank
- 15:0615:06, 18 June 2009 diff hist +66 stat946f10 →Page Rank
- 15:0315:03, 18 June 2009 diff hist +378 stat946f10 →Page Rank
- 14:5514:55, 18 June 2009 diff hist +71 stat946f10 →Page Rank
- 14:5314:53, 18 June 2009 diff hist +113 stat946f10 →Page Rank
- 14:5014:50, 18 June 2009 diff hist +44 stat946f10 →Page Rank
- 14:4614:46, 18 June 2009 diff hist +231 stat946f10 →Page Rank
- 14:4114:41, 18 June 2009 diff hist +20 stat946f10 →Page Rank
17 June 2009
- 23:3923:39, 17 June 2009 diff hist +2 stat946f10 →Rank One Downdata(R1D)
- 23:3823:38, 17 June 2009 diff hist −7 stat946f10 →Rank One Downdata(R1D)
- 23:3723:37, 17 June 2009 diff hist +4 stat946f10 →Rank One Downdata(R1D)
- 23:2823:28, 17 June 2009 diff hist +907 stat946f10 →Rank One Downdata(R1D)
16 June 2009
- 17:1517:15, 16 June 2009 diff hist +16 stat946f10 →Nonnegative Matrix Factorization (NMF)
- 16:3416:34, 16 June 2009 diff hist +159 stat946f10 →Nonnegative Matrix Factorization (NMF)
- 16:1716:17, 16 June 2009 diff hist −1 stat946f10 →3. PSD formulation
- 16:1016:10, 16 June 2009 diff hist +1 stat946f10 Undo revision 1352 by Myakhave (Talk)
- 16:0616:06, 16 June 2009 diff hist −1 stat946f10 →3. PSD formulation
- 16:0616:06, 16 June 2009 diff hist +2 stat946f10 →3. PSD formulation
- 16:0516:05, 16 June 2009 diff hist +41 stat946f10 →3. PSD formulation
11 June 2009
- 22:4322:43, 11 June 2009 diff hist +13 stat946f10 →Closed form Metric learning (CFML)
- 22:4322:43, 11 June 2009 diff hist +28 stat946f10 →Closed form Metric learning (CFML)
- 22:4222:42, 11 June 2009 diff hist +9 stat946f10 →Closed form Metric learning (CFML)
- 22:4122:41, 11 June 2009 diff hist +67 stat946f10 →Closed form Metric learning (CFML)
- 22:2322:23, 11 June 2009 diff hist +41 stat946f10 →Comparison
- 22:1922:19, 11 June 2009 diff hist +347 stat946f10 →June 11th
- 22:0322:03, 11 June 2009 diff hist −15 stat946f10 →Closed form Metric learning (CFML)
- 22:0222:02, 11 June 2009 diff hist +28 stat946f10 →Closed form Metric learning (CFML)
- 22:0122:01, 11 June 2009 diff hist −33 stat946f10 →Closed form Metric learning (CFML)
- 21:5821:58, 11 June 2009 diff hist +27 stat946f10 →Closed form Metric learning (CFML)
- 21:5521:55, 11 June 2009 diff hist +6 stat946f10 →Closed form Metric learning (CFML)
- 21:5421:54, 11 June 2009 diff hist −5 stat946f10 →Closed form Metric learning (CFML)
9 June 2009
- 23:5823:58, 9 June 2009 diff hist +9 stat946f10 →2. Optimization Problem by Ali Ghodsi, Dana Wilkinson, Finnegan Southey
- 23:5623:56, 9 June 2009 diff hist +3 stat946f10 →2. Optimization Problem by Ali Ghodsi, Dana Wilkinson, Finnegan Southey
- 23:5523:55, 9 June 2009 diff hist +568 stat946f10 →2. Optimization Problem by Ali Ghodsi, Dana Wilkinson, Finnegan Southey
- 23:4523:45, 9 June 2009 diff hist +127 stat946f10 →2. Optimization Problem by Ali Ghodsi, Dana Wilkinson, Finnegan Southey
- 23:1023:10, 9 June 2009 diff hist 0 stat946f10 →June 9th Metric Learning