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121
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ICML
2002
IEEE
16 years 1 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
77
Voted
ISVC
2007
Springer
15 years 7 months ago
Utilizing Semantic Interpretation of Junctions for 3D-2D Pose Estimation
In this paper we investigate the quality of 3D-2D pose estimates using hand labeled line and point correspondences. We select point correspondences from junctions in the image, all...
Florian Pilz, Yan Shi, Daniel Grest, Nicolas Pugea...
AVBPA
2003
Springer
172views Biometrics» more  AVBPA 2003»
15 years 6 months ago
Constraint Shape Model Using Edge Constraint and Gabor Wavelet Based Search
: Constraint Shape Model is proposed to extract facial feature using two different search methods for contour points and control points individually. In the proposed algorithm, sal...
Baochang Zhang, Wen Gao, Shiguang Shan, Wei Wang
102
Voted
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 2 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
102
Voted
ICPR
2006
IEEE
16 years 1 months ago
Learning Policies for Efficiently Identifying Objects of Many Classes
Viola and Jones (VJ) cascade classification methods have proven to be very successful in detecting objects belonging to a single class -- e.g., faces. This paper addresses the mor...
Ahmed M. Elgammal, Ramana Isukapalli, Russell Grei...