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ATAL
2005
Springer
13 years 10 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
CGF
1998
110views more  CGF 1998»
13 years 4 months ago
Adaptive Supersampling in Object Space Using Pyramidal Rays
We introduce a new approach to three important problems in ray tracing: antialiasing, distributed light sources, and fuzzy reflections of lights and other surfaces. For antialias...
Jon D. Genetti, Dan Gordon, G. Williams
ICMLA
2008
13 years 6 months ago
Automated Analysis for Detecting Beams in Laser Wakefield Simulations
Laser wakefield particle accelerators have shown the potential to generate electric fields thousands of times higher than those of conventional accelerators. The resulting extreme...
Daniela Mayumi Ushizima, Oliver Rübel, Prabha...
CVPR
2010
IEEE
14 years 24 days ago
Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Shandong Wu, Brian E. Moore, and Mubarak Shah
CAIP
2007
Springer
143views Image Analysis» more  CAIP 2007»
13 years 10 months ago
A Level Set Bridging Force for the Segmentation of Dendritic Spines
The paper focusses on a group of segmentation problems dealing with 3D data sets showing thin objects that appear disconnected in the data due to partial volume effects or a large...
Karsten Rink, Klaus D. Tönnies