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Optimization of Mean-Shift scale parameters on the EGEE grid
Ting Li, Sorina Camarasu-Pop, Tristan Glatard, Thomas Grenier, Hugues Benoit-Cattin
203 - 214
10.3233/978-1-60750-583-9-203
Studies in Health Technology and Informatics
Volume 159: Healthgrid Applications and Core Technologies
Abstract

This paper studies the optimization of Mean-Shift (MS) image filtering scale parameters. A parameter sweep experiment representing 164 days of CPU is performed on the EGEE grid. The mathematical foundations of Mean-Shift and the grid environment used for the deployment are described in details. The experiments and results are then discussed highlighting the efficiency of gradient ascent algorithm for MS parameters optimization and a number of grid observations related to data transfers, reliability, task scheduling, CPU time and usability.

$35.00 / €27.50 / £22.00
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