250 search results - page 41 / 50 » Learning Probabilistic Models of Word Sense Disambiguation |
116
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CVPR
2008
IEEE
15 years 12 months ago
2008
IEEE
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
STOC
1993
ACM
15 years 1 months ago
1993
ACM
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
CVPR
2008
IEEE
15 years 12 months ago
2008
IEEE
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
111
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AAAI
2010
14 years 11 months ago
2010
This paper presents the Topic-Aspect Model (TAM), a Bayesian mixture model which jointly discovers topics and aspects. We broadly define an aspect of a document as a characteristi...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...