1547 search results - page 83 / 310 » Learning a Classification Model for Segmentation |
122
Voted
ICIP
2001
IEEE
16 years 3 months ago
2001
IEEE
This paper introduces multi-scale tree-based approaches to image segmentation, using Rissanen's coding theoretic minimum description length (MDL) principle to penalize overly...
135
click to vote
ISBI
2004
IEEE
16 years 3 months ago
2004
IEEE
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
129
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
The Conditional Random Fields (CRF) model, using
patch-based classification bound with context information,
has recently been widely adopted for image segmentation/
labeling. In...
121
click to vote
EMNLP
2009
15 years 3 days ago
2009
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
185
click to vote
JMLR
2012
13 years 4 months ago
2012
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...