1174 search results - page 86 / 235 » Boosting for transfer learning |
140
Voted
CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
109
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
123
Voted
AMFG
2005
IEEE
15 years 6 months ago
2005
IEEE
This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC) for robust face recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is proposed an...
85
Voted
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Ranking large scale image and video collections usually expects higher accuracy on top ranked data, while tolerates lower accuracy on bottom ranked ones. In view of this, we propo...
107
click to vote
ICMLA
2004
15 years 2 months ago
2004
AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...