616 search results - page 103 / 124 » Hierarchical Hidden Markov Models for Information Extraction |
125
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CVPR
2011
IEEE
14 years 8 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...
VISUAL
2000
Springer
15 years 3 months ago
2000
Springer
We present an original approach for motion-based retrieval involving partial query. More precisely, we propose an uni ed statistical framework both to extract entities of interest ...
104
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CCS
2009
ACM
15 years 3 months ago
2009
ACM
This work casts the traffic analysis of anonymity systems, and in particular mix networks, in the context of Bayesian inference. A generative probabilistic model of mix network ar...
TNN
1998
14 years 11 months ago
1998
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
101
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FOCI
2007
IEEE
15 years 6 months ago
2007
IEEE
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...