326 search results - page 18 / 66 » Principal Component Analysis for Distributed Data Sets with ... |
NIPS
1998
15 years 1 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...
104
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JMLR
2012
13 years 2 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...
105
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DAGM
2006
Springer
15 years 3 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...
105
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NAR
2008
14 years 11 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
15 years 1 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...