1018 search results - page 156 / 204 » Learning Probabilistic Models of Contours |
176
Voted
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
122
Voted
CIKM
2008
Springer
15 years 4 months ago
2008
Springer
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
116
Voted
COLING
2002
15 years 2 months ago
2002
We present a comparative evaluation of two data-driven models used in translation selection of English-Korean machine translation. Latent semantic analysis(LSA) and probabilistic ...
154
Voted
PKDD
2010
Springer
15 years 1 months ago
2010
Springer
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
158
Voted
TMI
2010
15 years 1 months ago
2010
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...