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DAGSTUHL
2004
13 years 11 months ago
Numerical Approximation of Parabolic Stochastic Partial Differential Equations
The topic of the talk were the time approximation of quasi linear stochastic partial differential equations of parabolic type. The framework were in the setting of stochastic evolu...
Erika Hausenblas
ICCV
2003
IEEE
14 years 11 months ago
Stochastic Refinement of the Visual Hull to Satisfy Photometric and Silhouette Consistency Constraints
An iterative method for reconstructing a 3D polygonal mesh and color texture map from multiple views of an object is presented. In each iteration, the method first estimates a tex...
John Isidoro, Stan Sclaroff
ICIP
2010
IEEE
13 years 7 months ago
Tone mapping HDR images using optimization: A general framework
This paper presents a novel tone mapping framework. First, we introduce a tone mapping fidelity principle which explicitly stipulates that tone-mapped image data should not only b...
Guoping Qiu, Yujie Mei, Kin Man Lam, Min Qiu
ICML
1998
IEEE
14 years 10 months ago
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
Junling Hu, Michael P. Wellman