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AAAI
2006
14 years 11 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
FSS
2010
111views more  FSS 2010»
14 years 8 months ago
The geometry of consonant belief functions: Simplicial complexes of necessity measures
In this paper we extend the geometric approach to the theory of evidence in order to include the class of necessity measures, represented on a finite domain of “frame” by con...
Fabio Cuzzolin
ASAP
2010
IEEE
193views Hardware» more  ASAP 2010»
14 years 11 months ago
Automatic generation of polynomial-based hardware architectures for function evaluation
Abstract--Polynomial approximation is a very general technique for the evaluation of a wide class of numerical functions of one variable. This article details an architecture gener...
Florent de Dinechin, Mioara Joldes, Bogdan Pasca
TIP
1998
162views more  TIP 1998»
14 years 9 months ago
Variational image segmentation using boundary functions
Abstract—A general variational framework for image approximation and segmentation is introduced. By using a continuous “line-process” to represent edge boundaries, it is poss...
Gary A. Hewer, Charles S. Kenney, B. S. Manjunath
COMPUTING
2006
112views more  COMPUTING 2006»
14 years 9 months ago
Fast Summation of Radial Functions on the Sphere
Radial functions are a powerful tool in many areas of multidimensional approximation, especially when dealing with scattered data. We present a fast approximate algorithm for the ...
Jens Keiner, Stefan Kunis, Daniel Potts