326 search results - page 18 / 66 » Principal Component Analysis for Distributed Data Sets with ... |
NIPS
1998
13 years 9 months ago
1998
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
JMLR
2012
11 years 10 months ago
2012
We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove o...
DAGM
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
NAR
2008
13 years 8 months ago
2008
Panzea (http://www.panzea.org), the public web site of the project `Molecular and Functional Diversity in the Maize Genome', has expanded over the past two years in data cont...
NIPS
2004
13 years 9 months ago
2004
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...