1325 search results - page 223 / 265 » The Incidence Propagation Method |
157
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ER
2008
Springer
15 years 7 months ago
2008
Springer
For various applications there is the need to compare the similarity between two process models. For example, given the as-is and to-be models of a particular business process, we ...
162
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ECIR
2010
Springer
15 years 7 months ago
2010
Springer
Web pages are often recognized by others through contexts. These contexts determine how linked pages influence and interact with each other. When differentiating such interactions,...
172
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MVA
2007
15 years 7 months ago
2007
This paper presents a method for markerless human motion capture using a single camera. It uses tree-based filtering to efficiently propagate a probability distribution over pos...
158
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NIPS
2007
15 years 7 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
160
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NIPS
2007
15 years 7 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...