We propose four new structural decomposition techniques for Constraint Satisfaction Problems. We compare these four techniques both theoretically and experimentally with hinge deco...
Reducing the number of labeled examples required to learn accurate prediction models is an important problem in structured output prediction. In this paper we propose a new transd...
The representation of both scales of cost and scales of benefit is very natural in a decision-making problem: scales of evaluation of decisions are often bipolar. The aim of this ...
The increasing availability of structurally aligned protein families has made it possible to use statistical methods to discover regions of interpositional dependenciesof residue ...
The advances of video technology and video-related applications demand appropriate video semantic models for representing video data and their semantics, and supporting powerful s...