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APIN
2005
92views more  APIN 2005»
13 years 7 months ago
A Hybrid Neural-Genetic Algorithm for the Frequency Assignment Problem in Satellite Communications
A hybrid Neural-Genetic algorithm (NG) is presented for the frequency assignment problem in satellite communications (FAPSC). The goal of this problem is minimizing the cochannel i...
Sancho Salcedo-Sanz, Carlos Bousoño-Calz&oa...
IJCNN
2007
IEEE
14 years 2 months ago
Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent
—The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose...
Ling Li, Hsuan-Tien Lin
JCP
2007
100views more  JCP 2007»
13 years 7 months ago
Extraction of Unique Independent Components for Nonlinear Mixture of Sources
—In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introd...
Pei Gao, Li Chin Khor, Wai Lok Woo, Satnam Singh D...
ESWA
2008
119views more  ESWA 2008»
13 years 8 months ago
Incremental clustering of mixed data based on distance hierarchy
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
Chung-Chian Hsu, Yan-Ping Huang
IJCNN
2008
IEEE
14 years 2 months ago
On the learning of nonlinear visual features from natural images by optimizing response energies
— The operation of V1 simple cells in primates has been traditionally modelled with linear models resembling Gabor filters, whereas the functionality of subsequent visual cortic...
Jussi T. Lindgren, Aapo Hyvärinen