994 search results - page 95 / 199 » Modeling and Inference with Relational Dynamic Bayesian Netw... |
123
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AAAI
2008
15 years 3 months ago
2008
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
133
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ECCV
2006
Springer
16 years 3 months ago
2006
Springer
Abstract. We present a novel algorithm for performing integrated segmentation and 3D pose estimation of a human body from multiple views. Unlike other related state of the art tech...
115
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AAAI
2010
15 years 2 months ago
2010
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
IAAI
2003
15 years 2 months ago
2003
In addition to being accurate, it is important that diagnostic systems for use in automobiles also have low development and hardware costs. Model-based methods have shown promise ...
108
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IJCAI
2007
15 years 2 months ago
2007
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...