User contributions for F33li
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20 August 2013
- 11:0011:00, 20 August 2013 diff hist +144 measuring statistical dependence with Hilbert-Schmidt norms →Summary
- 10:2110:21, 20 August 2013 diff hist +409 measuring statistical dependence with Hilbert-Schmidt norms No edit summary
- 01:2201:22, 20 August 2013 diff hist +2 large-Scale Supervised Sparse Principal Component Analysis →Conclusion
- 01:2201:22, 20 August 2013 diff hist +219 large-Scale Supervised Sparse Principal Component Analysis No edit summary
- 01:0501:05, 20 August 2013 diff hist +332 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
19 August 2013
- 23:3823:38, 19 August 2013 diff hist +528 the Indian Buffet Process: An Introduction and Review No edit summary
- 23:2323:23, 19 August 2013 diff hist +602 rOBPCA: A New Approach to Robust Principal Component Analysis No edit summary
5 August 2013
- 17:5117:51, 5 August 2013 diff hist −2 metric and Kernel Learning Using a Linear Transformation →Conclusion
- 17:4917:49, 5 August 2013 diff hist +612 metric and Kernel Learning Using a Linear Transformation No edit summary
- 17:3817:38, 5 August 2013 diff hist +18 metric and Kernel Learning Using a Linear Transformation →LogDet Divergence Based Metric Learning
- 17:3617:36, 5 August 2013 diff hist +48 metric and Kernel Learning Using a Linear Transformation →LogDet Divergence Based Metric Learning
- 17:2117:21, 5 August 2013 diff hist 0 metric and Kernel Learning Using a Linear Transformation →LogDet Divergence Based Metric Learning
- 17:2017:20, 5 August 2013 diff hist −64 metric and Kernel Learning Using a Linear Transformation No edit summary
- 17:1517:15, 5 August 2013 diff hist +31 metric and Kernel Learning Using a Linear Transformation No edit summary
- 17:1417:14, 5 August 2013 diff hist +33 metric and Kernel Learning Using a Linear Transformation No edit summary
- 17:1317:13, 5 August 2013 diff hist +1 metric and Kernel Learning Using a Linear Transformation No edit summary
- 17:1217:12, 5 August 2013 diff hist +50 metric and Kernel Learning Using a Linear Transformation →Experiments
- 17:0617:06, 5 August 2013 diff hist +359 metric and Kernel Learning Using a Linear Transformation No edit summary
- 17:0517:05, 5 August 2013 diff hist +11 metric and Kernel Learning Using a Linear Transformation →LogDet Divergence Based Metric Learning
- 17:0517:05, 5 August 2013 diff hist +3 metric and Kernel Learning Using a Linear Transformation →Experiments
- 17:0317:03, 5 August 2013 diff hist +7 metric and Kernel Learning Using a Linear Transformation →LogDet Divergence Based Metric Learning
- 17:0017:00, 5 August 2013 diff hist 0 N File:W k relation.png No edit summary current
- 16:5916:59, 5 August 2013 diff hist −1 metric and Kernel Learning Using a Linear Transformation →LogDet Divergence Based Metric Learning
- 16:5516:55, 5 August 2013 diff hist +1,739 metric and Kernel Learning Using a Linear Transformation No edit summary
- 16:5016:50, 5 August 2013 diff hist −183 metric and Kernel Learning Using a Linear Transformation No edit summary
- 16:4916:49, 5 August 2013 diff hist +2,624 N metric and Kernel Learning Using a Linear Transformation Created page with " == Introduction == The motivation of the papers is to combine the advantages of Mahalanobis distance learning and kernel learning. Mahalanobis distance learning can deal with o..."
- 16:4416:44, 5 August 2013 diff hist 0 N File:Oos extension.png No edit summary current
- 16:4416:44, 5 August 2013 diff hist 0 N File:Kl slack variable.png No edit summary current
- 16:4316:43, 5 August 2013 diff hist 0 N File:Itml kernelized.png No edit summary current
- 16:4316:43, 5 August 2013 diff hist 0 N File:Itml formulation.png No edit summary current
- 16:4316:43, 5 August 2013 diff hist 0 N File:Fig3 fan.png No edit summary current
- 16:4216:42, 5 August 2013 diff hist 0 N File:Fig2 fan.png No edit summary current
- 16:4216:42, 5 August 2013 diff hist 0 N File:Fig1 fan.png No edit summary current
- 16:4116:41, 5 August 2013 diff hist 0 N File:Alg metric kernel learning.png No edit summary current
29 July 2013
- 22:3022:30, 29 July 2013 diff hist +546 hierarchical Dirichlet Processes No edit summary
- 22:1122:11, 29 July 2013 diff hist +22 adaptive dimension reduction for clustering high dimensional data →6. Discussion
- 22:1022:10, 29 July 2013 diff hist +2 adaptive dimension reduction for clustering high dimensional data No edit summary
- 22:0922:09, 29 July 2013 diff hist +957 adaptive dimension reduction for clustering high dimensional data No edit summary
21 July 2013
- 23:1923:19, 21 July 2013 diff hist +530 parametric Local Metric Learning for Nearest Neighbor Classification No edit summary
18 July 2013
- 09:4809:48, 18 July 2013 diff hist +270 maximum likelihood estimation of intrinsic dimension →Discussion
- 09:3809:38, 18 July 2013 diff hist +3 summary →Discussion
- 09:3809:38, 18 July 2013 diff hist +389 summary No edit summary
9 July 2013
- 10:0410:04, 9 July 2013 diff hist 0 positive Semidefinite Metric Learning Using Boosting-like Algorithms →4. Test results
- 10:0210:02, 9 July 2013 diff hist +261 positive Semidefinite Metric Learning Using Boosting-like Algorithms No edit summary
- 09:5609:56, 9 July 2013 diff hist 0 N File:Err2.png No edit summary current
- 09:5609:56, 9 July 2013 diff hist 0 N File:Err1.png No edit summary current
- 09:5609:56, 9 July 2013 diff hist 0 N File:Eig2.png No edit summary current
- 09:5609:56, 9 July 2013 diff hist 0 N File:Eig1.png No edit summary current
- 09:5409:54, 9 July 2013 diff hist 0 N File:Overall Result.png No edit summary current
- 09:5409:54, 9 July 2013 diff hist 0 N File:Run time.png No edit summary current
- 09:5309:53, 9 July 2013 diff hist 0 N File:Acc.png No edit summary current
- 00:1800:18, 9 July 2013 diff hist +137 s13Stat946proposal →By: Fan Li
- 00:1400:14, 9 July 2013 diff hist +1,304 s13Stat946proposal No edit summary
5 July 2013
- 12:5112:51, 5 July 2013 diff hist +9 positive Semidefinite Metric Learning Using Boosting-like Algorithms No edit summary
- 12:4812:48, 5 July 2013 diff hist −8 positive Semidefinite Metric Learning Using Boosting-like Algorithms →1. Mathematical model of the problem
4 July 2013
- 20:4220:42, 4 July 2013 diff hist −1 positive Semidefinite Metric Learning Using Boosting-like Algorithms →1. Mathematical model for the problem
- 20:3820:38, 4 July 2013 diff hist −14 positive Semidefinite Metric Learning Using Boosting-like Algorithms No edit summary
- 20:3820:38, 4 July 2013 diff hist +12 positive Semidefinite Metric Learning Using Boosting-like Algorithms No edit summary
- 20:3720:37, 4 July 2013 diff hist +775 positive Semidefinite Metric Learning Using Boosting-like Algorithms No edit summary
- 20:3420:34, 4 July 2013 diff hist +176 positive Semidefinite Metric Learning Using Boosting-like Algorithms →3. Optimization strategies
- 20:3220:32, 4 July 2013 diff hist +6 positive Semidefinite Metric Learning Using Boosting-like Algorithms →3. Optimization strategies
- 20:3220:32, 4 July 2013 diff hist +797 positive Semidefinite Metric Learning Using Boosting-like Algorithms →3. Optimization strategies
- 20:1420:14, 4 July 2013 diff hist +2,106 positive Semidefinite Metric Learning Using Boosting-like Algorithms No edit summary
- 19:2119:21, 4 July 2013 diff hist +3 positive Semidefinite Metric Learning Using Boosting-like Algorithms →2. Optimization problems for three loss functions
- 19:2019:20, 4 July 2013 diff hist +303 positive Semidefinite Metric Learning Using Boosting-like Algorithms →2. Optimization problems for three loss functions
- 19:0019:00, 4 July 2013 diff hist 0 positive Semidefinite Metric Learning Using Boosting-like Algorithms →1. Mathematical model for the problem
- 19:0019:00, 4 July 2013 diff hist +53 positive Semidefinite Metric Learning Using Boosting-like Algorithms →1. Mathematical model for the problem
- 18:5818:58, 4 July 2013 diff hist −48 positive Semidefinite Metric Learning Using Boosting-like Algorithms →1. Mathematical model for the problem
- 18:5718:57, 4 July 2013 diff hist −2 positive Semidefinite Metric Learning Using Boosting-like Algorithms →1. Mathematical model for the problem
- 18:5518:55, 4 July 2013 diff hist +1,038 positive Semidefinite Metric Learning Using Boosting-like Algorithms No edit summary
3 July 2013
- 18:1918:19, 3 July 2013 diff hist +2,106 N positive Semidefinite Metric Learning Using Boosting-like Algorithms Created page with "A Mahlanobis distance metric learning method is proposed in the paper. The training samples are made into “triplets” (a<sub>i</sub>, a<sub>j</sub>, a<sub>k</sub>), where a<su..."
2 July 2013
- 12:5912:59, 2 July 2013 diff hist −54 stat946s13 →Set B