1325 search results - page 223 / 265 » The Incidence Propagation Method |
ER
2008
Springer
13 years 10 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 ...
ECIR
2010
Springer
13 years 10 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,...
MVA
2007
13 years 10 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...
NIPS
2007
13 years 10 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...
NIPS
2007
13 years 10 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 ...