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121
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ACL
2006
15 years 6 months ago
2006
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
178
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CVPR
2011
IEEE
15 years 1 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
171
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JMLR
2012
13 years 7 months ago
2012
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
120
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ICDM
2008
IEEE
15 years 11 months ago
2008
IEEE
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...
173
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ACCV
2006
Springer
15 years 11 months ago
2006
Springer
Real-time estimation of a camera’s pose relative to an object is still an open problem. The difficulty stems from the need for fast and robust detection of known objects in the s...