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ECML
2006
Springer
15 years 8 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
TVCG
2010
194views more  TVCG 2010»
15 years 3 months ago
Declarative Language Design for Interactive Visualization
Abstract—We investigate the design of declarative, domain-specific languages for constructing interactive visualizations. By separating specification from execution, declarativ...
Jeffrey Heer, Michael Bostock
APVIS
2010
14 years 12 months ago
Visual analysis of high dimensional point clouds using topological landscapes
In this paper, we present a novel three-stage process to visualize the structure of point clouds in arbitrary dimensions. To get insight into the structure and complexity of a dat...
Patrick Oesterling, Christian Heine, Heike Jä...
152
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CCGRID
2010
IEEE
15 years 6 months ago
Cooperative Multitasking for GPU-Accelerated Grid Systems
Exploiting the graphics processing unit (GPU) is useful to obtain higher performance with a less number of host machines in grid systems. One problem in GPU-accelerated grid system...
Fumihiko Ino, Akihiro Ogita, Kentaro Oita, Kenichi...
CW
2004
IEEE
15 years 8 months ago
Interactive Function-Based Shape Modeling for Cyberworlds
Shared virtual worlds require exchanging shape models over the Internet. Since complex shapes such as VRML objects are often defined with polygonal meshes, the size of models may ...
Konstantin Levinski, Alexei Sourin