136 search results - page 21 / 28 » Hierarchical mixture models: a probabilistic analysis |
120
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JMLR
2010
14 years 6 months ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
114
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BMCBI
2006
14 years 11 months ago
2006
Background: The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of m...
105
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NIPS
2004
15 years 1 months ago
2004
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
105
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PAMI
2007
14 years 11 months ago
2007
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
WABI
2009
Springer
15 years 6 months ago
2009
Springer
Background: This paper considers the problem of identifying pathways through metabolic networks that relate to a specific biological response. Our proposed model, HME3M, first ide...