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» Feature Learning for Recognition with Bayesian Networks
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TITS
2011
165views more  TITS 2011»
13 years 2 months ago
Analysis of Real-World Driver's Frustration
—This study investigates a method for estimating a driver’s spontaneous frustration in the real world. In line with a specific definition of emotion, the proposed method inte...
Lucas Malta, Chiyomi Miyajima, Norihide Kitaoka, K...
PAMI
2010
188views more  PAMI 2010»
13 years 6 months ago
A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding
—Facial expression is a natural and powerful means of human communication. Recognizing spontaneous facial actions, however, is very challenging due to subtle facial deformation, ...
Yan Tong, Jixu Chen, Qiang Ji
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Video Based Online Behavior Detection Using Probabilistic Multi Stream Fusion
In the present treatise, we propose an approach for a highly configurable image based online person behaviour monitoring system. The particular application scenario is a crew sup...
Dejan Arsic, Frank Wallhoff, Björn Schuller, ...
ICMCS
2005
IEEE
246views Multimedia» more  ICMCS 2005»
14 years 1 months ago
A SOM-wavelet networks for face identification
This paper describes a novel SOM-Wavelet Networks method for face recognition. We employed a SOM algorithm, which is based on the structure of a biological model, to extract shape...
Yang Zhi, Gu Ming
ICML
2009
IEEE
14 years 8 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...