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» Support Vector Machines Applied to Face Recognition
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ICPR
2006
IEEE
14 years 7 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
JCB
2006
138views more  JCB 2006»
13 years 6 months ago
Recognition and Classification of Histones Using Support Vector Machine
Histones are DNA-binding proteins found in the chromatin of all eukaryotic cells. They are highly conserved and can be grouped into five major classes: H1/H5, H2A, H2B, H3, and H4...
Manoj Bhasin, Ellis L. Reinherz, Pedro A. Reche
IEEEHPCS
2010
13 years 5 months ago
An efficient method for face recognition under illumination variations
An efficient method for face recognition which is robust under illumination variations is proposed. The proposed method achieves the illumination invariants based on the reflectan...
A. Nabatchian, E. Abdel-Raheem, M. Ahmadi
WACV
2002
IEEE
13 years 11 months ago
An Experimental Evaluation of Linear and Kernel-Based Methods for Face Recognition
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
Himaanshu Gupta, Amit K. Agrawal, Tarun Pruthi, Ch...
NIPS
2003
13 years 8 months ago
Phonetic Speaker Recognition with Support Vector Machines
A recent area of significant progress in speaker recognition is the use of high level features—idiolect, phonetic relations, prosody, discourse structure, etc. A speaker not on...
William M. Campbell, Joseph P. Campbell, Douglas A...