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PAMI
2008
182views more  PAMI 2008»
15 years 6 months ago
A Hierarchical Compositional Model for Face Representation and Sketching
This paper presents a hierarchical-compositional model of human faces, as a three-layer AND-OR graph to account for the structural variabilities over multiple resolutions. In the A...
Zijian Xu, Hong Chen, Song Chun Zhu, Jiebo Luo
CVPR
2005
IEEE
16 years 1 days ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
AVBPA
2001
Springer
157views Biometrics» more  AVBPA 2001»
15 years 11 months ago
EigenGait: Motion-Based Recognition of People Using Image Self-Similarity
We present a novel technique for motion-based recognition of individual gaits in monocular sequences. Recent work has suggested that the image self-similarity plot of a moving per...
Chiraz BenAbdelkader, Ross Cutler, Harsh Nanda, La...
PR
2007
127views more  PR 2007»
15 years 5 months ago
Face recognition using spectral features
Face recognition is a challenging task in computer vision and pattern recognition. It is well-known that obtaining a low-dimensional feature representation with enhanced discrimin...
Fei Wang, Jingdong Wang, Changshui Zhang, James T....
CVPR
2010
IEEE
15 years 5 months ago
Cost-Sensitive Subspace Learning for Face Recognition
Conventional subspace learning-based face recognition aims to attain low recognition errors and assumes same loss from all misclassifications. In many real-world face recognition...
Jiwen Lu, Tan Yap-Peng