ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
AVSS
2007
IEEE
13 years 10 months ago
2007
IEEE
CVPR
2010
IEEE
14 years 14 days ago
2010
IEEE
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...
CVPR
2010
IEEE
14 years 14 days ago
2010
IEEE
Tracking-by-detection is increasingly popular in order to tackle the visual tracking problem. Existing adaptive methods suffer from the drifting problem, since they rely on selfup...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...