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TEC
2008
165views more  TEC 2008»
15 years 2 months ago
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
Shengxiang Yang, Xin Yao
SEBD
2008
169views Database» more  SEBD 2008»
15 years 3 months ago
Clustering the Feature Space
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
Dino Ienco, Rosa Meo
TMI
2010
318views more  TMI 2010»
15 years 23 days ago
elastix: A Toolbox for Intensity-Based Medical Image Registration
—Medical image registration is an important task in medical image processing. It refers to the process of aligning data sets, possibly from different modalities (e.g., magnetic r...
Stefan Klein, Marius Staring, Keelin Murphy, Max A...
ICCAD
2001
IEEE
84views Hardware» more  ICCAD 2001»
15 years 11 months ago
Minimum-Buffered Routing of Non-Critical Nets for Slew Rate and Reliability Control
In high-speed digital VLSI design, bounding the load capacitance at gate outputs is a well-known methodology to improve coupling noise immunity, reduce degradation of signal trans...
Charles J. Alpert, Andrew B. Kahng, Bao Liu, Ion I...
PROMISE
2010
14 years 9 months ago
Exploiting count spectra for Bayesian fault localization
Background: Automated diagnosis of software defects can drastically increase debugging efficiency, improving reliability and time-to-market. Current, low-cost, automatic fault dia...
Rui Abreu, Alberto González-Sanchez, Arjan ...