13026 search results - page 87 / 2606 » Probabilistic Relational Models |
212
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ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
We present a novel approach for detecting global behaviour
anomalies in multiple disjoint cameras by learning
time delayed dependencies between activities cross camera
views. Sp...
135
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SUM
2009
Springer
15 years 9 months ago
2009
Springer
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
142
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NIPS
1998
15 years 4 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
128
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
We study the challenging problem of maneuvering object tracking with unknown dynamics, i.e., forces or torque. We investigate the underlying causes of object kinematics, and propo...
110
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SIGIR
2010
ACM
15 years 3 months ago
2010
ACM
We present a novel approach to query reformulation which combines syntactic and semantic information by means of generalized Levenshtein distance algorithms where the substitution...