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» Approximate algorithms for neural-Bayesian approaches
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ICPR
2006
IEEE
15 years 10 months ago
Approximation of Digital Curves using a Multi-Objective Genetic Algorithm
In this paper, a digital planar curve approximation method based on a multi-objective genetic algorithm is proposed. In this method, the optimization/exploration algorithm locates...
Hervé Locteau, Romain Raveaux, Sébas...
IJIT
2004
14 years 11 months ago
Multiresolution Approach to Subpixel Registration by Linear Approximation of PSF
Linear approximation of point spread function (PSF) is a new method for determining subpixel translations between images. The problem with the actual algorithm is the inability of ...
Erol Seke, Kemal Özkan
INFOCOM
1998
IEEE
15 years 1 months ago
A Stochastic Approximation Approach for Max-Min Fair Adaptive Rate Control of ABR Sessions with MCRs
The ABR sessions in an ATM network share the bandwidth left over after guaranteeing service to CBR and VBR traffic. Hence the bandwidth available to ABR sessions is randomly varyi...
Santosh Paul Abraham, Anurag Kumar
IROS
2007
IEEE
159views Robotics» more  IROS 2007»
15 years 3 months ago
Approximate covariance estimation in graphical approaches to SLAM
— Smoothing and optimization approaches are an effective means for solving the simultaneous localization and mapping (SLAM) problem. Most of the existing techniques focus mainly ...
Gian Diego Tipaldi, Giorgio Grisetti, Wolfram Burg...
ICPR
2002
IEEE
15 years 10 months ago
A Windowed Weighted Approach for Approximate Cyclic String Matching
A method for measuring dissimilarities between cyclic strings is introduced. It computes a weighted mean between two (lower and upper) bounds of the exact cyclic edit distance, wh...
Ramón Alberto Mollineda, Enrique Vidal, Fra...