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GECCO
2006
Springer
152views Optimization» more  GECCO 2006»
14 years 1 months ago
Strong recombination, weak selection, and mutation
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...
Alden H. Wright, J. Neal Richter
ECCV
2010
Springer
14 years 20 days ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
IJCAI
2007
13 years 11 months ago
Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning
This paper addresses the problem of concept sampling. In many real-world applications, a large collection of mixed concepts is available for decision making. However, the collecti...
Yi Zhang 0010, Xiaoming Jin
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 11 months ago
Evolutionary facial feature selection
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Aaron K. Baughman
TSP
2008
114views more  TSP 2008»
13 years 10 months ago
Clipping-Noise Guided Sign-Selection for PAR Reduction in OFDM Systems
The peak-to-average power ratio (PAR) of orthogonal frequency division multiplexing (OFDM) systems can be reduced by using an optimal set of subcarrier signs. However, this sign se...
Luqing Wang, Chintha Tellambura