311 search results - page 40 / 63 » Learning Probabilistic Models of Link Structure |
117
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CVPR
2011
IEEE
14 years 3 months ago
2011
IEEE
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
ECHT
1992
15 years 3 months ago
1992
This paper discusses experiences and lessons learned from the design of an open hypermedia system, one that integrates applications and data not "owned" by the hypermedi...
ECCV
2006
Springer
16 years 1 months ago
2006
Springer
Abstract. This paper addresses the problem of how to learn an appropriate feature representation from video to benefit video-based face recognition. By simultaneously exploiting th...
103
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EEE
2005
IEEE
15 years 5 months ago
2005
IEEE
The rapid growth of XML adoption has urged for the need of a proper representation for semi-structured documents, where the document structural information has to be taken into ac...
100
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BMCBI
2006
14 years 12 months ago
2006
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...