User contributions for F33li

15:4915:49, 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..."
15:4415:44, 5 August 2013 diff hist 0‎ N File:Oos extension.png ‎No edit summary current
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15:4215:42, 5 August 2013 diff hist 0‎ N File:Fig1 fan.png ‎No edit summary current
15:4115:41, 5 August 2013 diff hist 0‎ N File:Alg metric kernel learning.png ‎No edit summary current

21:3021:30, 29 July 2013 diff hist +546‎ hierarchical Dirichlet Processes ‎No edit summary
21:1121:11, 29 July 2013 diff hist +22‎ adaptive dimension reduction for clustering high dimensional data ‎ →‎6. Discussion
21:1021:10, 29 July 2013 diff hist +2‎ adaptive dimension reduction for clustering high dimensional data ‎No edit summary
21:0921:09, 29 July 2013 diff hist +957‎ adaptive dimension reduction for clustering high dimensional data ‎No edit summary

22:1922:19, 21 July 2013 diff hist +530‎ parametric Local Metric Learning for Nearest Neighbor Classiﬁcation ‎No edit summary

08:4808:48, 18 July 2013 diff hist +270‎ maximum likelihood estimation of intrinsic dimension ‎ →‎Discussion
08:3808:38, 18 July 2013 diff hist +3‎ summary ‎ →‎Discussion
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09:0409:04, 9 July 2013 diff hist 0‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎4. Test results
09:0209:02, 9 July 2013 diff hist +261‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎No edit summary
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23:1823:18, 8 July 2013 diff hist +137‎ s13Stat946proposal ‎ →‎By: Fan Li
23:1423:14, 8 July 2013 diff hist +1,304‎ s13Stat946proposal ‎No edit summary

11:5111:51, 5 July 2013 diff hist +9‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎No edit summary
11:4811:48, 5 July 2013 diff hist −8‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎1. Mathematical model of the problem

19:4219:42, 4 July 2013 diff hist −1‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎1. Mathematical model for the problem
19:3819:38, 4 July 2013 diff hist −14‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎No edit summary
19:3819:38, 4 July 2013 diff hist +12‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎No edit summary
19:3719:37, 4 July 2013 diff hist +775‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎No edit summary
19:3419:34, 4 July 2013 diff hist +176‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎3. Optimization strategies
19:3219:32, 4 July 2013 diff hist +6‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎3. Optimization strategies
19:3219:32, 4 July 2013 diff hist +797‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎3. Optimization strategies
19:1419:14, 4 July 2013 diff hist +2,106‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎No edit summary
18:2118:21, 4 July 2013 diff hist +3‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎2. Optimization problems for three loss functions
18:2018:20, 4 July 2013 diff hist +303‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎2. Optimization problems for three loss functions
18:0018:00, 4 July 2013 diff hist 0‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎1. Mathematical model for the problem
18:0018:00, 4 July 2013 diff hist +53‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎1. Mathematical model for the problem
17:5817:58, 4 July 2013 diff hist −48‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎1. Mathematical model for the problem
17:5717:57, 4 July 2013 diff hist −2‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎ →‎1. Mathematical model for the problem
17:5517:55, 4 July 2013 diff hist +1,038‎ positive Semidefinite Metric Learning Using Boosting-like Algorithms ‎No edit summary

17:1917:19, 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” (ai, aj, ak), where a<su..."