462 search results - page 18 / 93 » Probabilistic Principal Component Analysis for Metabolomic D... |
PAMI
2002
14 years 9 months ago
2002
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
100
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CIKM
2010
Springer
14 years 8 months ago
2010
Springer
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
109
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ISNN
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
ICIP
2002
IEEE
15 years 11 months ago
2002
IEEE
We introduce an efficient statistical modeling technique called Mixture of Principal Components (MPC). This model is a linear extension to the traditional Principal Component Anal...
ISBI
2007
IEEE
15 years 4 months ago
2007
IEEE
Statistical shape analysis techniques commonly employed in the medical imaging community, such as Active Shape Models or Active Appearance Models, rely on Principal Component Anal...