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» Facial Expression Recognition with Relevance Vector Machines
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NIPS
2003
13 years 9 months ago
Perspectives on Sparse Bayesian Learning
Recently, relevance vector machines (RVM) have been fashioned from a sparse Bayesian learning (SBL) framework to perform supervised learning using a weight prior that encourages s...
David P. Wipf, Jason A. Palmer, Bhaskar D. Rao
JMM2
2007
218views more  JMM2 2007»
13 years 7 months ago
A Novel Method for 3D Face Detection and Normalization
—When automatically analyzing images of human faces, either for recognition in biometry applications or facial expression analysis in human machine interaction, one has to cope w...
Robert Niese, Ayoub Al-Hamadi, Bernd Michaelis
HRI
2006
ACM
14 years 1 months ago
The art of designing robot faces: dimensions for human-robot interaction
As robots enter everyday life and start to interact with ordinary people the question of their appearance becomes increasingly important. A user’s perception of a robot can be s...
Mike Blow, Kerstin Dautenhahn, Andrew Appleby, Chr...
ICPR
2010
IEEE
13 years 5 months ago
Audio-Visual Classification and Fusion of Spontaneous Affective Data in Likelihood Space
This paper focuses on audio-visual (using facial expression, shoulder and audio cues) classification of spontaneous affect, utilising generative models for classification (i) in t...
Mihalis A. Nicolaou, Hatice Gunes, Maja Pantic
WACV
2005
IEEE
14 years 1 months ago
Deformation Analysis for 3D Face Matching
Current two-dimensional image based face recognition systems encounter difficulties with large facial appearance variations due to the pose, illumination and expression changes. ...
Xiaoguang Lu, Anil K. Jain