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» Using Component Features for Face Recognition
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TNN
2008
128views more  TNN 2008»
15 years 2 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
GI
2009
Springer
15 years 8 days ago
A Modular Framework to Detect and Analyze Faces for Audience Measurement Systems
: In this paper we describe an approach that enables the detection, tracking and fine analysis (classification of gender and facial expression) of faces using a single web camera. ...
Christian Küblbeck, Tobias Ruf, Andreas Ernst
JMLR
2010
120views more  JMLR 2010»
14 years 9 months ago
Effective Wrapper-Filter hybridization through GRASP Schemata
Of all of the challenges which face the selection of relevant features for predictive data mining or pattern recognition modeling, the adaptation of computational intelligence tec...
Mohamed Amir Esseghir
ICASSP
2010
IEEE
15 years 2 months ago
Visual emotion recognition using compact facial representations and viseme information
Emotion expression is an essential part of human interaction. Rich emotional information is conveyed through the human face. In this study, we analyze detailed motion-captured fac...
Angeliki Metallinou, Carlos Busso, Sungbok Lee, Sh...
138
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TIP
2008
142views more  TIP 2008»
15 years 2 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...