24 search results - page 3 / 5 » Online convex optimization in the bandit setting: gradient d... |
EMMCVPR
2011
Springer
12 years 4 months ago
2011
Springer
Abstract. The Mumford-Shah model has been one of the most powerful models in image segmentation and denoising. The optimization of the multiphase Mumford-Shah energy functional has...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
In a principal-agent problem, a principal seeks to motivate an agent to take a certain action beneficial to the principal, while spending as little as possible on the reward. This...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
Boosting is a popular way to derive powerful learners from simpler hypothesis classes. Following previous work (Mason et al., 1999; Friedman, 2000) on general boosting frameworks,...
ICDM
2007
IEEE
13 years 6 months ago
2007
IEEE
For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all availabl...