1864 search results - page 148 / 373 » Modeling Classification and Inference Learning |
102
Voted
ACL
2010
14 years 11 months ago
2010
We propose a corpus-based probabilistic framework to extract hidden common syntax across languages from non-parallel multilingual corpora in an unsupervised fashion. For this purp...
121
Voted
ICIP
2005
IEEE
16 years 2 months ago
2005
IEEE
We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down contr...
124
Voted
DATAMINE
2010
15 years 27 days ago
2010
In this paper, we investigate how to modify the Naive Bayes classifier in order to perform classification that is restricted to be independent with respect to a given sensitive att...
133
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ESANN
2007
15 years 2 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
142
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CVPR
2009
IEEE
16 years 8 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...