Sciweavers

NIPS
2000
13 years 5 months ago
Automatic Choice of Dimensionality for PCA
A central issue in principal component analysis (PCA) is choosing the number of principal components to be retained. By interpreting PCA as density estimation, this paper shows ho...
Thomas P. Minka
ICML
2008
IEEE
14 years 5 months ago
Memory bounded inference in topic models
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
Ryan Gomes, Max Welling, Pietro Perona
MICCAI
2009
Springer
14 years 5 months ago
Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis
Merlin Keller, Marc Lavielle, Matthieu Perrot, ...