2878 search results - page 73 / 576 » Learning the Common Structure of Data |
117
Voted
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
The goal of this paper is to find sparse and representative spatial priors that can be applied to part-based object localization. Assuming a GMRF prior over part configurations, w...
170
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JMLR
2010
14 years 10 months ago
2010
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
119
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
144
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CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
The visual world demonstrates organized spatial patterns,
among objects or regions in a scene, object-parts
in an object, and low-level features in object-parts. These
classes o...
157
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FTCGV
2011
14 years 7 months ago
2011
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...