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SDM
2007
SIAM
162views Data Mining» more  SDM 2007»
13 years 9 months ago
Probabilistic Joint Feature Selection for Multi-task Learning
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
ICCV
2007
IEEE
14 years 9 months ago
Integrating Appearance and Motion Cues for Simultaneous Detection and Segmentation of Pedestrians
We present a unified method for simultaneously acquiring both the location and the silhouette shape of people in outdoor scenes. The proposed algorithm integrates top-down and bot...
Vinay Sharma, James W. Davis
TSMC
2008
198views more  TSMC 2008»
13 years 7 months ago
Representation Plurality and Fusion for 3-D Face Recognition
In this paper, we present an extensive study of 3-D face recognition algorithms and examine the benefits of various score-, rank-, and decision-level fusion rules. We investigate f...
Berk Gökberk, Helin Dutagaci, A. Ulas, Lale A...
PR
2006
111views more  PR 2006»
13 years 7 months ago
The Bhattacharyya space for feature selection and its application to texture segmentation
A feature selection methodology based on a novel Bhattacharyya space is presented and illustrated with a texture segmentation problem. The Bhattacharyya space is constructed from ...
Constantino Carlos Reyes-Aldasoro, Abhir Bhalerao
ICIP
2010
IEEE
13 years 5 months ago
Robust object detection scheme using feature selection
Feature selection is an important issue for object detection. In this paper, we propose an effective wrapper-based feature selection scheme using Binary Particle Swarm Optimizatio...
Hong Pan, Liang-Zheng Xia, Truong Q. Nguyen