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» Approximate algorithms for neural-Bayesian approaches
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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
IROS
2007
IEEE
109views Robotics» more  IROS 2007»
15 years 4 months ago
A new approach to segmentation of 2D range scans into linear regions
— Toward obtaining a compact and multiresolution representation of 2D range scans, a wavelet framework is proposed for encoding an orientation measure called Running Angle (RA). ...
Ahad Harati, Roland Siegwart
ICCBR
2001
Springer
15 years 2 months ago
A Fuzzy-Rough Approach for Case Base Maintenance
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
SODA
2008
ACM
77views Algorithms» more  SODA 2008»
14 years 11 months ago
Online make-to-order joint replenishment model: primal dual competitive algorithms
In this paper, we study an online make-to-order variant of the classical joint replenishment problem (JRP) that has been studied extensively over the years and plays a fundamental...
Niv Buchbinder, Tracy Kimbrel, Retsef Levi, Konsta...
STOC
2007
ACM
106views Algorithms» more  STOC 2007»
15 years 10 months ago
One sketch for all: fast algorithms for compressed sensing
Compressed Sensing is a new paradigm for acquiring the compressible signals that arise in many applications. These signals can be approximated using an amount of information much ...
Anna C. Gilbert, Martin J. Strauss, Joel A. Tropp,...