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CVPR
2005
IEEE
16 years 5 months ago
Full Body Tracking from Multiple Views Using Stochastic Sampling
We present a novel approach for full body pose tracking using stochastic sampling. A volumetric reconstruction of a person is extracted from silhouettes in multiple video images. ...
Roland Kehl, Matthieu Bray, Luc J. Van Gool
ICALP
2009
Springer
16 years 3 months ago
A Survey of Stochastic Games with Limsup and Liminf Objectives
A stochastic game is a two-player game played on a graph, where in each state the successor is chosen either by one of the players, or according to a probability distribution. We s...
Krishnendu Chatterjee, Laurent Doyen, Thomas A. He...
111
Voted
ESANN
2006
15 years 4 months ago
Learning for stochastic dynamic programming
Abstract. We present experimental results about learning function values (i.e. Bellman values) in stochastic dynamic programming (SDP). All results come from openDP (opendp.sourcef...
Sylvain Gelly, Jérémie Mary, Olivier...
110
Voted
SIAMJO
2008
93views more  SIAMJO 2008»
15 years 3 months ago
Stochastic Programs with First-Order Dominance Constraints Induced by Mixed-Integer Linear Recourse
We propose a new class of stochastic integer programs whose special features are dominance constraints induced by mixed-integer linear recourse. For these models, we establish clo...
Ralf Gollmer, Frederike Neise, Rüdiger Schult...
114
Voted
SIAMCO
2000
117views more  SIAMCO 2000»
15 years 3 months ago
The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
It is shown here that stability of the stochastic approximation algorithm is implied by the asymptotic stability of the origin for an associated ODE. This in turn implies convergen...
Vivek S. Borkar, Sean P. Meyn