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» Face Recognition Based on 2D and 3D Features
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BIOSTEC
2008
184views Healthcare» more  BIOSTEC 2008»
14 years 11 months ago
Automatic Speech Recognition Based on Electromyographic Biosignals
This paper presents our studies of automatic speech recognition based on electromyographic biosignals captured from the articulatory muscles in the face using surface electrodes. W...
Szu-Chen Stan Jou, Tanja Schultz
ACII
2005
Springer
15 years 3 months ago
Sketch Based Facial Expression Recognition Using Graphics Hardware
In this paper, a novel system is proposed to recognize facial expression based on face sketch, which is produced by programmable graphics hardware-GPU(Graphics Processing Unit). Fi...
Jiajun Bu, Mingli Song, Qi Wu, Chun Chen, Cheng Ji...
CIARP
2006
Springer
15 years 1 months ago
Gender Classification of Faces Using Adaboost
In this work it is described a framework for classifying face images using Adaboost and domain-partitioning based classifiers. The most interesting aspect of this framework is the ...
Rodrigo Verschae, Javier Ruiz-del-Solar, Mauricio ...
NIPS
2000
14 years 11 months ago
Feature Selection for SVMs
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
Jason Weston, Sayan Mukherjee, Olivier Chapelle, M...
125
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PAMI
2007
249views more  PAMI 2007»
14 years 9 months ago
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
— The traditional image representations are not suited to conventional classification methods, such as the linear discriminant analysis (LDA), because of the under sample problem...
Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Ma...