1174 search results - page 87 / 235 » Boosting for transfer learning |
101
Voted
PR
2008
15 years 23 days ago
2008
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
106
Voted
JMLR
2010
14 years 7 months ago
2010
Concentration inequalities that incorporate variance information (such as Bernstein's or Bennett's inequality) are often significantly tighter than counterparts (such as...
123
Voted
CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...
92
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...
109
click to vote
ECCV
2008
Springer
16 years 2 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 ...