1864 search results - page 148 / 373 » Modeling Classification and Inference Learning |
144
Voted
ACL
2010
15 years 3 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...
169
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ICIP
2005
IEEE
16 years 6 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...
157
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DATAMINE
2010
15 years 5 months 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...
180
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ESANN
2007
15 years 6 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 ...
190
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CVPR
2009
IEEE
17 years 5 days 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...