User contributions for Ezhuang

9 July 2009

• 16:3916:39, 9 July 2009 diff hist +394‎ independent Component Analysis: algorithms and applications ‎ →‎Introduction
• 16:2716:27, 9 July 2009 diff hist +4‎ independent Component Analysis: algorithms and applications ‎ →‎Introduction
• 16:2716:27, 9 July 2009 diff hist +932‎ independent Component Analysis: algorithms and applications ‎ →‎Introduction
• 15:3915:39, 9 July 2009 diff hist +821‎ independent Component Analysis: algorithms and applications ‎ →‎Introduction

1 July 2009

• 19:0719:07, 1 July 2009 diff hist +338‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Rounding
• 18:5318:53, 1 July 2009 diff hist −480‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Rounding
• 18:5118:51, 1 July 2009 diff hist +261‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Rounding
• 18:2918:29, 1 July 2009 diff hist −208‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Learning Algorithm
• 18:2818:28, 1 July 2009 diff hist −304‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Learning Algorithm
• 02:3802:38, 1 July 2009 diff hist +1,870‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Proof for Theorem 5
• 02:3202:32, 1 July 2009 diff hist +25‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Proof for Theorem 3
• 02:3002:30, 1 July 2009 diff hist +14‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Reference
• 02:2902:29, 1 July 2009 diff hist +13‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Proof for Theorem 3
• 02:2802:28, 1 July 2009 diff hist +1,771‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎J_1\left({\mathbf W},{\mathbf E}\right) Expansion
• 02:1202:12, 1 July 2009 diff hist +1,068‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Proof for Theorem 1
• 02:0702:07, 1 July 2009 diff hist +1,929‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Experiment
• 01:5401:54, 1 July 2009 diff hist +143‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Experiment
• 01:5201:52, 1 July 2009 diff hist +241‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Experiment
• 01:4601:46, 1 July 2009 diff hist 0‎ N File:Learning Spectral clustering experiment 2.png ‎No edit summary current
• 01:4101:41, 1 July 2009 diff hist 0‎ N File:Learning Spectral clustering experiment 1.png ‎No edit summary current
• 01:3701:37, 1 July 2009 diff hist −1‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Experiment
• 01:3701:37, 1 July 2009 diff hist +392‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Learning Algorithm
• 01:3401:34, 1 July 2009 diff hist +512‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Learning Algorithm
• 01:3001:30, 1 July 2009 diff hist +886‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Learning Algorithm
• 01:1801:18, 1 July 2009 diff hist −1‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Distance between partitions
• 01:1701:17, 1 July 2009 diff hist +1,718‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Derivative of orthogonal projection {\mathbf \Pi }={\mathbf U}{{\mathbf U}}^{{\rm T}}
• 01:0701:07, 1 July 2009 diff hist +537‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Approximation of eigensubspace
• 01:0401:04, 1 July 2009 diff hist +988‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Theorem 5
• 01:0001:00, 1 July 2009 diff hist −36‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Cost Functions as Upper Bounds
• 00:5800:58, 1 July 2009 diff hist +4‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Spectral Clustering
• 00:5700:57, 1 July 2009 diff hist +2,158‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Relationship with distance metric learning
• 00:4100:41, 1 July 2009 diff hist +1‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Relationship with distance metric learning
• 00:4100:41, 1 July 2009 diff hist +444‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Relationship with distance metric learning
• 00:3900:39, 1 July 2009 diff hist +5‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Learning the Similarity Matrix
• 00:3800:38, 1 July 2009 diff hist +48‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Learning the Similarity Matrix
• 00:3700:37, 1 July 2009 diff hist +448‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Learning the Similarity Matrix
• 00:3200:32, 1 July 2009 diff hist +1,404‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Learning the Similarity Matrix
• 00:2300:23, 1 July 2009 diff hist +35‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Spectral clustering using K-means algorithm
• 00:2200:22, 1 July 2009 diff hist +4‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Spectral clustering using K-means algorithm
• 00:2100:21, 1 July 2009 diff hist +4,231‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Alternative cost function J_2\left({\mathbf W},{\mathbf E}\right)

30 June 2009

• 23:5523:55, 30 June 2009 diff hist +9‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Relationship among minimizing normalized cut, minimizing J_1\left({\mathbf W},{\mathbf E}\right) and Spectral clustering using weighted K-means
• 23:5423:54, 30 June 2009 diff hist +2‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Relationship among minimizing normalized cut, minimizing J_1\left({\mathbf W},{\mathbf E}\right) and Spectral clustering using weighted K-means
• 23:5323:53, 30 June 2009 diff hist +336‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Relationship among minimizing normalized cut, minimizing J_1\left({\mathbf W},{\mathbf E}\right) and Spectral clustering using weighted K-means
• 23:5023:50, 30 June 2009 diff hist +199‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Spectral Clustering using weighted K-means
• 23:4723:47, 30 June 2009 diff hist 0‎ N File:Illustration Of J(W,E).png ‎No edit summary current
• 23:3223:32, 30 June 2009 diff hist +82‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Spectral Clustering using weighted K-means
• 23:3123:31, 30 June 2009 diff hist +764‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Spectral Clustering using weighted K-means
• 23:2023:20, 30 June 2009 diff hist +2,263‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Rounding
• 22:4922:49, 30 June 2009 diff hist +3,491‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Theorem 2
• 22:1622:16, 30 June 2009 diff hist +1,504‎ learning Spectral Clustering, With Application To Speech Separation ‎ →‎Relaxed optimization problem