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» The Accelerated Euclidean Algorithm
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ICCABS
2011
14 years 6 months ago
Towards accelerating molecular modeling via multi-scale approximation on a GPU
—Research efforts to analyze biomolecular properties contribute towards our understanding of biomolecular function. Calculating non-bonded forces (or in our case, electrostatic s...
Mayank Daga, Wu-chun Feng, Thomas Scogland
ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
15 years 9 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
139
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ICASSP
2007
IEEE
15 years 9 months ago
Breaking the Limitation of Manifold Analysis for Super-Resolution of Facial Images
A novel method for robust super-resolution offace images is proposed in this paper. Face super-resolution is a particular interest in video surveillance where face images have typ...
Sung Won Park, Marios Savvides
MCAM
2007
Springer
213views Multimedia» more  MCAM 2007»
15 years 9 months ago
Players and Ball Detection in Soccer Videos Based on Color Segmentation and Shape Analysis
This paper proposes a scheme to detect and locate the players and the ball on the grass playfield in soccer videos. We put forward a shape analysisbased approach to identify the pl...
Yu Huang, Joan Llach, Sitaram Bhagavathy
138
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PPSN
2004
Springer
15 years 8 months ago
Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation
Abstract. This paper introduces a generator that creates problem instances for the Euclidean symmetric travelling salesman problem. To fit real world problems, we look at maps con...
Jano I. van Hemert, Neil Urquhart