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» Learning Dynamic Bayesian Networks
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ICML
2004
IEEE
14 years 11 months ago
Parameter space exploration with Gaussian process trees
Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
Robert B. Gramacy, Herbert K. H. Lee, William G. M...
HUMO
2007
Springer
14 years 5 months ago
Multi-activity Tracking in LLE Body Pose Space
We present a method to simultaneously estimate 3d body pose and action categories from monocular video sequences. Our approach learns a lowdimensional embedding of the pose manifol...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...
BC
2007
79views more  BC 2007»
13 years 11 months ago
Spike-timing-dependent plasticity for neurons with recurrent connections
The dynamics of the learning equation, which describes the evolution of the synaptic weights, is derived in the situation where the network contains recurrent connections. The deri...
Anthony N. Burkitt, Matthieu Gilson, J. Leo van He...
CRV
2006
IEEE
160views Robotics» more  CRV 2006»
14 years 4 months ago
Multiple-Sensor Indoor Surveillance System
This paper describes a surveillance system that uses a network of sensors of different kind for localizing and tracking people in an office environment. The sensor network consist...
Valery A. Petrushin, Gang Wei, Omer Shakil, Damian...
IFIP
2010
Springer
14 years 3 months ago
A Face Attention Technique for a Robot Able to Interpret Facial Expressions
Automatic facial expressions recognition using vision is an important subject towards human-robot interaction. Here is proposed a human face focus of attention technique and a faci...
Carlos Simplício, José Augusto Prado...