1018 search results - page 107 / 204 » Learning Probabilistic Models of Contours |
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...
ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
In this paper we propose a novel scheme to combine offline and online features of handwritten strokes. The stateof-the-art methods in handwritten stroke recognition have used a pr...
NIPS
2004
14 years 11 months ago
2004
We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and gener...
TMI
2008
14 years 10 months ago
2008
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...