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» Hidden Conditional Random Fields for Meeting Segmentation
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MICCAI
2009
Springer
16 years 4 months ago
A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation
Abstract. We consider a general modelling strategy to handle in a unified way a number of tasks essential to MR brain scan analysis. Our approach is based on the explicit definitio...
Benoit Scherrer, Florence Forbes, Michel Dojat
179
Voted
ACL
2006
15 years 4 months ago
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Gre...
135
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Superpixel-based object class segmentation using conditional random fields
Object class segmentation (OCS) is a key issue in semantic scene labeling and understanding. Its general principle consists of naming object entities into scenes according to thei...
Xi Li, Hichem Sahbi
164
Voted
CVPR
2011
IEEE
14 years 7 months ago
A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...
Qixing Huang, Mei Han, Bo Wu, Sergey Ioffe
92
Voted
CRV
2007
IEEE
113views Robotics» more  CRV 2007»
15 years 9 months ago
Figure-ground segmentation using a hierarchical conditional random field
Jordan Reynolds, Kevin Murphy