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» Using Component Features for Face Recognition
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ICPR
2004
IEEE
16 years 3 months ago
Kernel Autoassociator with Applications to Visual Classification
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
Bailing Zhang, Haihong Zhang, Weimin Huang, Zhiyon...
129
Voted
ICPR
2006
IEEE
16 years 3 months ago
Feature selection for linear support vector machines
Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is...
Zhizheng Liang, Tuo Zhao
118
Voted
NIPS
2001
15 years 3 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
ICAPR
2009
Springer
15 years 7 months ago
Multisensor Biometric Evidence Fusion for Person Authentication Using Wavelet Decomposition and Monotonic-Decreasing Graph
—This paper presents a novel biometric sensor generated evidence fusion of face and palmprint images using wavelet decomposition for personnel identity verification. The approach...
Dakshina Ranjan Kisku, Jamuna Kanta Sing, Massimo ...
ICMCS
2009
IEEE
168views Multimedia» more  ICMCS 2009»
15 years 7 days ago
Human activity recognition based on the blob features
In this paper, we present a novel approach for human activities recognition in the video. We analyze human activities in the sequential frames because human activities can be cons...
Jie Yang, Jian Cheng, Hanqing Lu