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ACL
2008
13 years 11 months ago
Semi-Supervised Convex Training for Dependency Parsing
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
Qin Iris Wang, Dale Schuurmans, Dekang Lin
JAIR
2006
102views more  JAIR 2006»
13 years 10 months ago
Properties and Applications of Programs with Monotone and Convex Constraints
We study properties of programs with monotone and convex constraints. We extend to these formalisms concepts and results from normal logic programming. They include the notions of...
Lengning Liu, Miroslaw Truszczynski
ML
2007
ACM
113views Machine Learning» more  ML 2007»
13 years 9 months ago
PAV and the ROC convex hull
Classifier calibration is the process of converting classifier scores into reliable probability estimates. Recently, a calibration technique based on isotonic regression has gain...
Tom Fawcett, Alexandru Niculescu-Mizil
CVPR
2008
IEEE
15 years 2 days ago
Enforcing convexity for improved alignment with constrained local models
Constrained local models (CLMs) have recently demonstrated good performance in non-rigid object alignment/tracking in comparison to leading holistic approaches (e.g., AAMs). A maj...
Yang Wang, Simon Lucey, Jeffrey F. Cohn
ICMCS
2005
IEEE
136views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Human Posture Recognition with Convex Programming
We present a novel human posture recognition method using convex programming based matching schemes. Instead of trying to segment the object from the background, we develop a nove...
Hao Jiang, Ze-Nian Li, Mark S. Drew