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» Boosting Image Retrieval
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CVPR
2007
IEEE
14 years 11 months ago
Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network
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...
Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMilla...
AMFG
2005
IEEE
327views Biometrics» more  AMFG 2005»
14 years 2 months ago
AdaBoost Gabor Fisher Classifier for Face Recognition
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...
Shiguang Shan, Peng Yang, Xilin Chen, Wen Gao
CVPR
2009
IEEE
14 years 27 days ago
Imbalanced RankBoost for efficiently ranking large-scale image/video collections
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...
Michele Merler, Rong Yan, John R. Smith
CVPR
2004
IEEE
14 years 22 days ago
Face Localization via Hierarchical CONDENSATION with Fisher Boosting Feature Selection
We formulate face localization as a Maximum A Posteriori Probability(MAP) problem of finding the best estimation of human face configuration in a given image. The a prior distribu...
Jilin Tu, ZhenQiu Zhang, Zhihong Zeng, Thomas S. H...
MVA
2002
178views Computer Vision» more  MVA 2002»
13 years 8 months ago
Advanced Image Retrieval Using Multi-resolution Image Content
We introduce an image retrieval method for searchingan image database by using a query image that has similarity in its global and/or regional image contents to the intended targe...
Motohide Yoshimura, Hajime Kiyose, Shigeo Abe