18 search results - page 1 / 4 » Discriminative Random Fields: A Discriminative Framework for... |
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
IJCV
2006
13 years 4 months ago
2006
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
We propose a novel approach for improving level set seg-
mentation methods by embedding the potential functions
from a discriminatively trained conditional random field
(CRF) in...
CVPR
2008
IEEE
14 years 6 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...