170 search results - page 10 / 34 » Region Classification with Markov Field Aspect Models |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
NIPS
2003
13 years 9 months ago
2003
In this paper we present Discriminative Random Fields (DRF), a discriminative framework for the classification of natural image regions by incorporating neighborhood spatial depe...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...
EMMCVPR
2007
Springer
14 years 1 months ago
2007
Springer
: We presented and evaluated a new Bayesian method for range image segmentation. The method proceeds in to stages. First, an initial segmentation was produced by a randomized regio...
ICDAR
2011
IEEE
12 years 7 months ago
2011
IEEE
— This paper describes a Markov random field (MRF) model with weighting parameters optimized by conditional random field (CRF) for on-line recognition of handwritten Japanese cha...