19 search results - page 2 / 4 » An Adaptive Version of the Boost by Majority Algorithm |
PR
2006
13 years 5 months ago
2006
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
The aim of salient point detection is to find distinctive events in images. Salient features are generally determined from the local differential structure of images. They focus o...
FOCS
2010
IEEE
13 years 3 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
EOR
2010
13 years 5 months ago
2010
Outer linearization methods for two-stage stochastic linear programs with recourse, such as the L-shaped algorithm, generally apply a single optimality cut on the nonlinear object...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...