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» On Computing Complex Navigation Functions
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IWANN
1999
Springer
14 years 2 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
ICPR
2002
IEEE
14 years 11 months ago
Face Detection Using a Modified Radial Basis Function Neural Network
Face detection from cluttered images is very challenging due to the diverse variation of face appearance and the complexity of image background. In this paper, we propose a neural...
Lin-Lin Huang, Akinobu Shimizu, Hidefumi Kobatake
WSCG
2004
149views more  WSCG 2004»
13 years 11 months ago
Depth Detection Through Interpolation Functions: A New Method
There are some different methods used for depth perception. In this paper, a new method for the depth perception, by using a single camera based on an interpolation, is introduced...
Mahdi Mirzabaki
TIT
2008
116views more  TIT 2008»
13 years 9 months ago
On the Complexity of Hardness Amplification
We study the task of transforming a hard function f, with which any small circuit disagrees on (1 - )/2 fraction of the input, into a harder function f , with which any small circ...
Chi-Jen Lu, Shi-Chun Tsai, Hsin-Lung Wu
AGP
2003
IEEE
14 years 3 months ago
Time Equations for Lazy Functional (Logic) Languages
There are very few approaches to measure the execution costs of lazy functional (logic) programs. The use of a lazy execution mechanism implies that the complexity of an evaluation...
Elvira Albert, Josep Silva, Germán Vidal