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» Heterogeneous particle swarm optimizers
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CVPR
2009
IEEE
15 years 1 months ago
Global Optimization for Alignment of Generalized Shapes
In this paper, we introduce a novel algorithm to solve global shape registration problems. We use gray-scale “images” to represent source shapes, and propose a novel twocompo...
Hongsheng Li (Lehigh University), Tian Shen (Lehig...
CEC
2008
IEEE
14 years 1 months ago
Reduced polynomial neural swarm net for classification task in data mining
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Bijan Bihari Misra, Satchidananda Dehuri, Pradipta...
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
13 years 11 months ago
Rapid prototyping using evolutionary approaches: part 1
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...
Nikhil Padhye, Subodh Kalia
ICMCS
2005
IEEE
98views Multimedia» more  ICMCS 2005»
14 years 10 days ago
Auto cropping for digital photographs
In this paper, we propose an effective approach to the nearly untouched problem, still photograph auto cropping, which is one of the important features to automatically enhance ph...
Mingju Zhang, Lei Zhang, Yanfeng Sun, Lin Feng, We...
LION
2009
Springer
129views Optimization» more  LION 2009»
14 years 1 months ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...