869 search results - page 14 / 174 » Max-Margin Markov Networks |
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
ML
2006
ACM
13 years 9 months ago
2006
ACM
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
GECCO
2007
Springer
14 years 4 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
ICIP
2003
IEEE
14 years 11 months ago
2003
IEEE
In this paper, we rely on the theory of marked point processes to perform an unsupervised road network extraction from optical and radar images. A road network is modeled by a Mar...
ECCV
2008
Springer
13 years 11 months ago
2008
Springer
Abstract. We address the problem of visual event recognition in surveillance where noise and missing observations are serious problems. Common sense domain knowledge is exploited t...