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PRL
1998
132views more  PRL 1998»
15 years 2 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
HIS
2003
15 years 4 months ago
Concurrent Application of Genetic Algorithm in Pattern Recognition
Abstract. This paper proposes the fitness control procedure for the application of genetic algorithms (GA) in pattern recognition. Instead of using GA to solve a concomitant optim...
Mario Köppen, Evgenia Dimitriadou
COR
2008
133views more  COR 2008»
15 years 2 months ago
A new constraint programming approach for the orthogonal packing problem
The two-dimensional orthogonal packing problem (2OPP) consists in determining if a set of rectangles can be packed in a larger rectangle of fixed size. We propose an exact method ...
François Clautiaux, Antoine Jouglet, Jacque...
ICANN
2007
Springer
15 years 9 months ago
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection
This paper describes a new model for extracting large-field optical flow patterns to generate distributed representations of neural activation to control complex visual tasks such ...
Stefan Ringbauer, Pierre Bayerl, Heiko Neumann
ICPR
2004
IEEE
16 years 4 months ago
A Consistency-Based Model Selection for One-Class Classification
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
David M. J. Tax, Klaus-Robert Müller