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JMLR
2006
108views more  JMLR 2006»
15 years 7 months ago
Learning Spectral Clustering, With Application To Speech Separation
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
Francis R. Bach, Michael I. Jordan
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
16 years 1 months ago
A comparison of evolutionary algorithms for system-level diagnosis
The size and complexity of systems based on multiple processing units demand techniques for the automatic diagnosis of their state. System-level diagnosis consists in determining ...
Bogdan Tomoyuki Nassu, Elias Procópio Duart...
AAAI
2006
15 years 9 months ago
A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
Qijun Zhao, David Zhang, Hongtao Lu
GECCO
2000
Springer
250views Optimization» more  GECCO 2000»
15 years 11 months ago
A Simple and Fast GA-SA hybrid Image Segmentation Algorithm
Image segmentation is an important process of image analysis. Most of the published approaches for image segmentation need to set appropriate parameter values to cope with the unc...
Shinn-Ying Ho, Kual-Zheng Lee
ICIC
2007
Springer
16 years 1 months ago
A Hybrid Electromagnetism-Like Algorithm for Single Machine Scheduling Problem
Electromagnetism-like algorithm (EM) is a population-based meta-heuristic which has been proposed to solve continuous problems effectively. In this paper, we present a new meta-h...
Shih-Hsin Chen, Pei-Chann Chang, Chien-Lung Chan, ...