User contributions for HanShengSun
A user with 123 edits. Account created on 12 June 2013.
19 August 2013
- 15:5815:58, 19 August 2013 diff hist +471 the Indian Buffet Process: An Introduction and Review →Introduction
- 15:4915:49, 19 August 2013 diff hist +334 cardinality Restricted Boltzmann Machines →RBM Formulation
- 15:2015:20, 19 August 2013 diff hist +118 nonparametric Latent Feature Models for Link Prediction →Inference
- 15:0515:05, 19 August 2013 diff hist +241 rOBPCA: A New Approach to Robust Principal Component Analysis →Conclusions
- 14:5214:52, 19 August 2013 diff hist +286 metric and Kernel Learning Using a Linear Transformation →Kernel Learning with Other Convex Loss Functions
- 14:4414:44, 19 August 2013 diff hist +299 parametric Local Metric Learning for Nearest Neighbor Classification →Discussion
25 July 2013
- 10:5910:59, 25 July 2013 diff hist +582 adaptive dimension reduction for clustering high dimensional data →4. Adaptive Dimension Reduction for EM
- 10:4610:46, 25 July 2013 diff hist +64 adaptive dimension reduction for clustering high dimensional data →2. Effective Dimension for Clustering
- 10:3110:31, 25 July 2013 diff hist +245 parametric Local Metric Learning for Nearest Neighbor Classification →Experiments
- 10:2710:27, 25 July 2013 diff hist +214 parametric Local Metric Learning for Nearest Neighbor Classification →Experiments
16 July 2013
- 09:1909:19, 16 July 2013 diff hist +1 kernelized Locality-Sensitive Hashing →Experimental Result
- 09:1809:18, 16 July 2013 diff hist +773 kernelized Locality-Sensitive Hashing →Related Methods
- 09:0509:05, 16 July 2013 diff hist 0 kernelized Locality-Sensitive Hashing →Locality Sensitive Hashing
- 08:1308:13, 16 July 2013 diff hist 0 hamming Distance Metric Learning →Optimization
- 08:1308:13, 16 July 2013 diff hist 0 hamming Distance Metric Learning →Introduction
- 08:1108:11, 16 July 2013 diff hist +31 hamming Distance Metric Learning →Upper bound on empirical loss
15 July 2013
- 18:5518:55, 15 July 2013 diff hist +31 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Discussion
13 July 2013
- 11:1711:17, 13 July 2013 diff hist +41 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Low Rank Plus Sparse Inverse
- 11:1311:13, 13 July 2013 diff hist +1,747 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Low Rank Plus Sparse Inverse
- 09:3109:31, 13 July 2013 diff hist +241 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Low Rank Plus Sparse Inverse
- 09:1709:17, 13 July 2013 diff hist 0 N File:HSSexperiment3.png No edit summary current
12 July 2013
- 13:5513:55, 12 July 2013 diff hist +67 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Maximum likelihood RCA
- 13:4713:47, 12 July 2013 diff hist +1,325 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Maximum likelihood RCA
- 12:5212:52, 12 July 2013 diff hist +530 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Maximum likelihood RCA
- 12:2512:25, 12 July 2013 diff hist +12 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
- 12:2012:20, 12 July 2013 diff hist +422 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Maximum likelihood RCA
- 11:0111:01, 12 July 2013 diff hist +439 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Experiments
- 10:5010:50, 12 July 2013 diff hist 0 N File:HSSexperiment2.png No edit summary current
11 July 2013
- 17:1617:16, 11 July 2013 diff hist +1 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Experiments
- 17:1517:15, 11 July 2013 diff hist +1,539 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Experiments
- 15:4615:46, 11 July 2013 diff hist +451 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Experiments
- 15:4315:43, 11 July 2013 diff hist +30 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Experiments
- 15:4215:42, 11 July 2013 diff hist 0 N File:HSSexperiment1.png No edit summary current
- 15:3915:39, 11 July 2013 diff hist +320 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Experiments
- 15:2715:27, 11 July 2013 diff hist +86 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Discussion
9 July 2013
- 16:3316:33, 9 July 2013 diff hist +858 s13Stat946proposal →By: Fan Li
8 July 2013
- 10:2710:27, 8 July 2013 diff hist +18 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Including Side Information
7 July 2013
- 23:2123:21, 7 July 2013 diff hist +2 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Bilateral Extrapolation of Dictionary Kernel
- 23:0523:05, 7 July 2013 diff hist −2 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Bilateral Extrapolation of Dictionary Kernel
4 July 2013
- 23:5323:53, 4 July 2013 diff hist +2 stat946s13 →Set A
- 23:5223:52, 4 July 2013 diff hist −234 stat946s13 →Set B
- 23:5123:51, 4 July 2013 diff hist −38 stat946s13 →Set A
- 23:4923:49, 4 July 2013 diff hist +272 stat946s13 →Set B
- 23:4023:40, 4 July 2013 diff hist +895 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Experiments
- 23:3923:39, 4 July 2013 diff hist +4,370 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Maximum likelihood RCA
- 23:3823:38, 4 July 2013 diff hist +2 stat946s13 →Set A
- 23:3623:36, 4 July 2013 diff hist −895 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Discussion
- 23:3523:35, 4 July 2013 diff hist −4,370 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
- 15:5915:59, 4 July 2013 diff hist +611 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Discussion
- 10:5810:58, 4 July 2013 diff hist +269 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Discussion
- 10:3910:39, 4 July 2013 diff hist +66 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Maximum likelihood RCA
- 10:2910:29, 4 July 2013 diff hist +28 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
- 10:1810:18, 4 July 2013 diff hist +324 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
- 09:4109:41, 4 July 2013 diff hist +724 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
- 00:5400:54, 4 July 2013 diff hist +342 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
- 00:3000:30, 4 July 2013 diff hist +962 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
3 July 2013
- 22:3722:37, 3 July 2013 diff hist +203 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
- 22:3322:33, 3 July 2013 diff hist +97 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
- 22:2522:25, 3 July 2013 diff hist +502 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
- 21:5921:59, 3 July 2013 diff hist +112 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
- 21:2721:27, 3 July 2013 diff hist +100 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
- 18:0118:01, 3 July 2013 diff hist +729 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
- 17:1217:12, 3 July 2013 diff hist +21 residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models →Introduction
- 16:5916:59, 3 July 2013 diff hist +252 N residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models Created page with "==Introduction== Probabilistic principle component analysis (PPCA) decomposes the covariance of a data vector <math>y</math> in <math>R^p</math>, into a low-rank term and a spher..."
- 15:3415:34, 3 July 2013 diff hist +248 stat946s13 →Set A
2 July 2013
- 21:0421:04, 2 July 2013 diff hist +55 stat946s13 →Set A
- 19:5519:55, 2 July 2013 diff hist +1,153 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Initialization
- 18:3018:30, 2 July 2013 diff hist +2 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Initialization
- 18:0718:07, 2 July 2013 diff hist +113 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Initialization
- 18:0318:03, 2 July 2013 diff hist +206 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Initialization
- 18:0018:00, 2 July 2013 diff hist +144 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Optimization
- 17:5417:54, 2 July 2013 diff hist +190 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Optimization
- 17:4517:45, 2 July 2013 diff hist +306 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Optimization
- 17:3717:37, 2 July 2013 diff hist +121 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Optimization
- 17:2817:28, 2 July 2013 diff hist +368 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Optimization
- 11:2011:20, 2 July 2013 diff hist +185 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Side Information as Grouping Constraints
- 11:1411:14, 2 July 2013 diff hist +415 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Side Information as Grouping Constraints
1 July 2013
- 23:3823:38, 1 July 2013 diff hist +860 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Including Side Information
- 22:0722:07, 1 July 2013 diff hist +874 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Including Side Information
- 21:1521:15, 1 July 2013 diff hist +1,720 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Bilateral Extrapolation of Dictionary Kernel
- 17:4617:46, 1 July 2013 diff hist −47 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Generalized Nystrom Low-rank Decomposition
- 17:4517:45, 1 July 2013 diff hist −150 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Experiments
- 16:5616:56, 1 July 2013 diff hist +566 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Experiments
- 16:5216:52, 1 July 2013 diff hist +28 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Experiments
- 16:5016:50, 1 July 2013 diff hist 0 N File:HssunFigure1.png No edit summary current
- 16:3416:34, 1 July 2013 diff hist 0 N File:HssunTable1.png No edit summary current
- 16:3316:33, 1 July 2013 diff hist −27 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Experiments
- 16:3216:32, 1 July 2013 diff hist +397 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Experiments
- 15:5815:58, 1 July 2013 diff hist +286 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Experiments
- 15:0515:05, 1 July 2013 diff hist +1,112 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Experiments
- 13:0713:07, 1 July 2013 diff hist +1,639 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Selecting Hyper-parameter
- 11:2311:23, 1 July 2013 diff hist +606 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Complexities
- 10:2510:25, 1 July 2013 diff hist +491 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Landmark Selection
- 10:0610:06, 1 July 2013 diff hist +247 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Generalized Nystrom Low-rank Decomposition
- 00:4900:49, 1 July 2013 diff hist −1 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Introduction
- 00:4800:48, 1 July 2013 diff hist +33 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Introduction
- 00:4600:46, 1 July 2013 diff hist +17 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Introduction
- 00:2300:23, 1 July 2013 diff hist +687 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Introduction
30 June 2013
- 21:4821:48, 30 June 2013 diff hist +825 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Introduction
- 19:5119:51, 30 June 2013 diff hist +31 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Introduction
- 19:5019:50, 30 June 2013 diff hist −31 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Introduction
- 19:4319:43, 30 June 2013 diff hist 0 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Introduction
- 19:4119:41, 30 June 2013 diff hist +2 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Introduction
- 19:4019:40, 30 June 2013 diff hist −1 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Introduction
- 19:3819:38, 30 June 2013 diff hist −2 consistency of Trace Norm Minimization →Introduction
- 19:3819:38, 30 June 2013 diff hist +811 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Introduction
- 19:0719:07, 30 June 2013 diff hist 0 inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method →Introduction
- 19:0619:06, 30 June 2013 diff hist +1,139 N inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method Created page with "==Introduction== Low-rankness is an important structure widely exploited in machine learning. Low-rank matrix decomposition produces a compact representation of large matrices, w..."
- 16:1716:17, 30 June 2013 diff hist +6 stat946s13 →Set B
- 16:1616:16, 30 June 2013 diff hist +230 stat946s13 →Set B
- 16:1216:12, 30 June 2013 diff hist −30 stat946s13 →Sing up for paper presentation
28 June 2013
- 09:5809:58, 28 June 2013 diff hist −1 stat946s13 →Multidimensional scaling (MDS)
- 09:5709:57, 28 June 2013 diff hist −5 stat946s13 →Multidimensional scaling (MDS)
- 09:5609:56, 28 June 2013 diff hist −36 stat946s13 →Multidimensional scaling (MDS)
- 09:5409:54, 28 June 2013 diff hist −7 stat946s13 →Multidimensional scaling (MDS)
- 09:5309:53, 28 June 2013 diff hist −1 stat946s13 →Multidimensional scaling (MDS)
- 09:5209:52, 28 June 2013 diff hist −7 stat946s13 →Multidimensional scaling (MDS)
- 09:4709:47, 28 June 2013 diff hist −15 stat946s13 →Locally Linear Embedding
- 09:4509:45, 28 June 2013 diff hist −9 stat946s13 →Principal components analysis
27 June 2013
- 23:4823:48, 27 June 2013 diff hist +40 stat946s13 →Semidefinite Embedding (SDE)
- 14:1814:18, 27 June 2013 diff hist 0 stat946s13 →Sing up for paper presentation
- 13:1413:14, 27 June 2013 diff hist +30 stat946s13 →Sing up for paper presentation