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