112 search results - page 7 / 23 » Minimizing and Learning Energy Functions for Side-Chain Pred... |
AAAI
2007
14 years 3 days ago
2007
Recent studies have shown that graph-based approaches are effective for semi-supervised learning. The key idea behind many graph-based approaches is to enforce the consistency bet...
COLT
1999
Springer
14 years 2 months ago
1999
Springer
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...
ICCV
2011
IEEE
12 years 9 months ago
2011
IEEE
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...