79 search results - page 4 / 16 » Bayesian Maximum Margin Principal Component Analysis |
109
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ICUMT
2009
14 years 8 months ago
2009
Abstract--In this paper we address the task of accurately reconstructing a distributed signal through the collection of a small number of samples at a data gathering point using Co...
132
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CSDA
2011
14 years 5 months ago
2011
The outer layers of the Earth’s atmosphere are known as the ionosphere, a plasma of free electrons and positively charged atomic ions. The electron density of the ionosphere var...
65
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NIPS
1998
14 years 11 months ago
1998
We present a probabilistic method for fusion of images produced by multiple sensors. The approach is based on an image formation model in which the sensor images are noisy, locall...
NIPS
2000
14 years 11 months ago
2000
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...
ICA
2007
Springer
15 years 6 days ago
2007
Springer
In this paper, we propose a Bayesian estimation approach to extend independent subspace analysis (ISA) for an overcomplete representation without imposing the orthogonal constraint...