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» Combining Simple Models to Approximate Complex Dynamics
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ICML
2010
IEEE
14 years 11 months ago
Continuous-Time Belief Propagation
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman
ICIP
2010
IEEE
14 years 7 months ago
Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization
Image convolution is conventionally approximated by the LTI discrete model. It is well recognized that the higher the sampling rate, the better is the approximation. However somet...
Yingsong Zhang, Nick G. Kingsbury
ECAI
2008
Springer
14 years 11 months ago
Exploiting locality of interactions using a policy-gradient approach in multiagent learning
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
Francisco S. Melo
ICRA
2009
IEEE
248views Robotics» more  ICRA 2009»
15 years 4 months ago
Moving obstacle detection in highly dynamic scenes
Abstract— We address the problem of vision-based multiperson tracking in busy pedestrian zones using a stereo rig mounted on a mobile platform. Specifically, we are interested i...
Andreas Ess, Bastian Leibe, Konrad Schindler, Luc ...
COMPLEX
2009
Springer
15 years 1 months ago
Capturing Internet Traffic Dynamics through Graph Distances
Studies of the Internet have typically focused either on the routing system, i.e. the paths chosen to reach a given destination, or on the evolution of traffic on a physical link. ...
Steve Uhlig, Bingjie Fu, Almerima Jamakovic