474 search results - page 59 / 95 » Bayesian Feature and Model Selection for Gaussian Mixture Mo... |
138
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FGCN
2008
IEEE
15 years 10 months ago
2008
IEEE
Word sense disambiguation has always been a key problem in Natural Language Processing. In the paper, we use the method of Information Gain to calculate the weight of different po...
123
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UAI
2000
15 years 5 months ago
2000
Incorporating feature selection into a classi cation or regression method often carries a number of advantages. In this paper we formalize feature selection speci cally from a dis...
150
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
129
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IBPRIA
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Some recent works have addressed the object recognition problem by representing objects as the composition of independent image parts, where each part is modeled with “...
147
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CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Object recognition accuracy can be improved when information from multiple views is integrated, but information in each view can often be highly redundant. We consider the problem...