79 search results - page 8 / 16 » Bayesian Maximum Margin Principal Component Analysis |
IDA
2009
Springer
15 years 5 months ago
2009
Springer
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
110
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NIPS
2008
14 years 12 months ago
2008
Principal Components Analysis (PCA) has become established as one of the key tools for dimensionality reduction when dealing with real valued data. Approaches such as exponential ...
CLEAR
2007
Springer
15 years 4 months ago
2007
Springer
This paper presents the person identification system developed at Athens Information Technology and its performance in the CLEAR 2007 evaluations. The system operates on the audiov...
116
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VISAPP
2010
14 years 8 months ago
2010
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
108
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BMCBI
2007
14 years 10 months ago
2007
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...