1018 search results - page 146 / 204 » Learning Probabilistic Models of Contours |
ICGI
2010
Springer
14 years 8 months ago
2010
Springer
In this paper we extend the PAC learning algorithm due to Clark and Thollard for learning distributions generated by PDFA to automata whose transitions may take varying time length...
102
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3DOR
2010
14 years 5 months ago
2010
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
102
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JMLR
2010
14 years 4 months ago
2010
Inducing a grammar from text has proven to be a notoriously challenging learning task despite decades of research. The primary reason for its difficulty is that in order to induce...
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...