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CORR
2010
Springer
221views Education» more  CORR 2010»
14 years 7 months ago
Reduction of Feature Vectors Using Rough Set Theory for Human Face Recognition
In this paper we describe a procedure to reduce the size of the input feature vector. A complex pattern recognition problem like face recognition involves huge dimension of input ...
Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nas...
ACMACE
2006
ACM
15 years 3 months ago
A fast eye location method using ordinal features
Automatic facial feature location is an important step in humancomputer interaction and automatic face recognition. In this paper, a new eye location method is proposed. A classif...
Xuetao Feng, Yangsheng Wang, Li Bai
BMCBI
2007
115views more  BMCBI 2007»
14 years 9 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault
PAMI
2008
156views more  PAMI 2008»
14 years 9 months ago
Tied Factor Analysis for Face Recognition across Large Pose Differences
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face: typical feature vectors vary more with pose than with identi...
Simon J. D. Prince, James H. Elder, Jonathan Warre...
IJON
2002
85views more  IJON 2002»
14 years 9 months ago
Learning statistically efficient features for speaker recognition
We apply independent component analysis (ICA) for extracting an optimal basis to the problem of finding efficient features for a speaker. The basis functions learned by the algori...
Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh