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AAAI
2000
15 years 5 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar
TFCV
1994
15 years 5 months ago
Attentive Visual Motion Processing: Computations in the Log-Polar Plane
Attentive vision is characterized by selective sensing in space and time as well as selective processing with respect to a speci c task. Selection in space involves the splitting ...
Konstantinos Daniilidis
CGF
2010
111views more  CGF 2010»
15 years 4 months ago
One Point Isometric Matching with the Heat Kernel
A common operation in many geometry processing algorithms consists of finding correspondences between pairs of shapes by finding structure-preserving maps between them. A particul...
Maks Ovsjanikov, Quentin Mérigot, Facundo M...
CORR
2010
Springer
116views Education» more  CORR 2010»
15 years 4 months ago
Interference Alignment as a Rank Constrained Rank Minimization
Abstract--We show that the maximization of the sum degreesof-freedom for the static flat-fading multiple-input multipleoutput (MIMO) interference channel is equivalent to a rank co...
Dimitris S. Papailiopoulos, Alexandros G. Dimakis
CGF
2006
166views more  CGF 2006»
15 years 4 months ago
Rendering Soft Shadows using Multilayered Shadow Fins
Generating soft shadows in real time is difficult. Exact methods (such as ray tracing, and multiple light source simulation) are too slow, while approximate methods often overesti...
Xiao-Hua Cai, Yun-Tao Jia, Xi Wang, Shi-Min Hu, Ra...