Top: Computer Science: Machine Learning: Principal Component Analysis:

Description

For now, this category also includes independent component analysis, singular value decomposition, latent semantic analysis, etc.

No subcategories

Lectures

607 views, 05:44:57 Independent Component Analysis Aapo Hyvärinen 6 comments	[syn]  476 views, 05:35:51 Independent Component Analysis Jean-François Cardoso 1 comment	361 views, 02:53:47 Monte Carlo Simulation methods Christophe Andrieu	invited talk [syn]  317 views, 00:46:08 Neighbourhood Components Analysis and Metric Learning Sam Roweis	[syn]  264 views, 01:49:01 Generalized Principal Component Analysis (GPCA) Rene Vidal 2 comments
[syn]  231 views, 00:58:41 Latent Semantic Variable Models Thomas Hofmann 2 comments	[syn]  186 views, 00:32:18 Neighbourhood Components Analysis Sam Roweis	125 views, 01:31:01 Machine Learning Flavor of Random Matrices Dimitris Achlioptas	109 views, 00:57:28 Principal Component and the Long Run Xiaohong Chen	98 views, 00:40:19 Discrete PCA Wray Buntine
78 views, 00:52:49 Some aspects of Latent Structure Analysis Mike Titterington	[syn]  58 views, 00:28:53 Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension Manfred K. Warmuth	[syn]  40 views, 00:38:48 Efficient Computation of Recursive Principal Component Analysis Alessandro Sperduti	[syn]  34 views, 01:01:02 Relational Latent Class Models Volker Tresp	24 views, 00:38:08 PERFORMANCE BOUNDS FOR KERNEL PCA Gilles Blanchard
[syn]  17 views, 00:21:59 Uncorrelated Multilinear Principal Component Analysis through Successive Variance Maximization Haiping Lu