1018 search results - page 44 / 204 » Learning Probabilistic Models of Contours |
AUSDM
2007
Springer
15 years 4 months ago
2007
Springer
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
JMLR
2010
14 years 4 months ago
2010
Logic-based probabilistic models (LBPMs) enable us to handle problems with uncertainty succinctly thanks to the expressive power of logic. However, most of LBPMs have restrictions...
DAGM
2005
Springer
15 years 3 months ago
2005
Springer
The ability to accurately localize objects in an observed scene is regarded as an important precondition for many practical applications including automatic manufacturing, quality ...
MICCAI
2003
Springer
15 years 10 months ago
2003
Springer
Abstract. This paper proposes a statistical model of functional landmarks delimiting low level visual areas which are highly variable across individuals. Low level visual areas are...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...