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CVPR
2007
IEEE
15 years 25 days ago
Learning Conditional Random Fields for Stereo
State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose heuristic restrictions or priors on disparities, for e...
Daniel Scharstein, Chris Pal
MICCAI
2009
Springer
14 years 12 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
ACL
2008
14 years 8 days ago
Using Conditional Random Fields to Extract Contexts and Answers of Questions from Online Forums
Online forum discussions often contain vast amounts of questions that are the focuses of discussions. Extracting contexts and answers together with the questions will yield not on...
Shilin Ding, Gao Cong, Chin-Yew Lin, Xiaoyan Zhu
COLING
2008
14 years 8 days ago
Training Conditional Random Fields Using Incomplete Annotations
We address corpus building situations, where complete annotations to the whole corpus is time consuming and unrealistic. Thus, annotation is done only on crucial part of sentences...
Yuta Tsuboi, Hisashi Kashima, Shinsuke Mori, Hirok...
ACL
2006
14 years 6 days ago
Training Conditional Random Fields with Multivariate Evaluation Measures
This paper proposes a framework for training Conditional Random Fields (CRFs) to optimize multivariate evaluation measures, including non-linear measures such as F-score. Our prop...
Jun Suzuki, Erik McDermott, Hideki Isozaki