542 search results - page 28 / 109 » PCA Gaussianization for image processing |
ICIP
2002
IEEE
16 years 1 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...
103
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ICIP
2009
IEEE
16 years 25 days ago
2009
IEEE
We explore sparse regression for effective feature selection and classification in face identity and expression recognition. We argue that sparse regression in pixel space is inap...
ISMM
2009
Springer
15 years 6 months ago
2009
Springer
The aim of this paper is to propose efficient tools for analysing shape families using morphological operators. The developments include the definition of shape statistics (mean a...
PAMI
2008
14 years 11 months ago
2008
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
101
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ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...