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» Image Distance Using Hidden Markov Models
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RAS
2000
187views more  RAS 2000»
13 years 7 months ago
Detection, tracking, and classification of action units in facial expression
Most of the current work on automated facial expression analysis attempt to recognize a small set of prototypic expressions, such as joy and fear. Such prototypic expressions, how...
James Jenn-Jier Lien, Takeo Kanade, Jeffrey F. Coh...
IVC
2002
141views more  IVC 2002»
13 years 7 months ago
Real-time gesture recognition system and application
In this paper, we consider a vision-based system that can interpret a user's gestures in real time to manipulate windows and objects within a graphical user interface. A hand...
Chan Wah Ng, Surendra Ranganath
AAMAS
2010
Springer
13 years 8 months ago
A probabilistic multimodal approach for predicting listener backchannels
During face-to-face interactions, listeners use backchannel feedback such as head nods as a signal to the speaker that the communication is working and that they should continue sp...
Louis-Philippe Morency, Iwan de Kok, Jonathan Grat...
NECO
2010
136views more  NECO 2010»
13 years 6 months ago
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
To allow the hidden units of a restricted Boltzmann machine to model the transformation between two successive images, Memisevic and Hinton (2007) introduced three-way multiplicat...
Roland Memisevic, Geoffrey E. Hinton
CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
14 years 18 days ago
A simulation-based method for aggregating Markov chains
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
Kun Deng, Prashant G. Mehta, Sean P. Meyn