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FPL
2004
Springer
93views Hardware» more  FPL 2004»
15 years 3 months ago
Second Order Function Approximation Using a Single Multiplication on FPGAs
Abstract. This paper presents a new scheme for the hardware evaluation of elementary functions, based on a piecewise second order minimax approximation. The novelty is that this ev...
Jérémie Detrey, Florent de Dinechin
CGF
2010
157views more  CGF 2010»
14 years 7 months ago
Non-iterative Second-order Approximation of Signed Distance Functions for Any Isosurface Representation
Signed distance functions (SDF) to explicit or implicit surface representations are intensively used in various computer graphics and visualization algorithms. Among others, they ...
Vladimir Molchanov, Paul Rosenthal, Lars Linsen
IWANN
1999
Springer
15 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
JAIR
2000
152views more  JAIR 2000»
14 years 9 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
SMI
2010
IEEE
228views Image Analysis» more  SMI 2010»
14 years 8 months ago
Hierarchical Spline Approximation of the Signed Distance Function
We present a method to compute the medial axis of a smooth curve or surface by using PHT-spline (polynomial splines over hierarchical T-meshes) hierarchical approximation. In part...
Xinghua Song, Bert Jüttler, Adrien Poteaux