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ESANN
2006
13 years 6 months ago
Cluster detection algorithm in neural networks
Complex networks have received much attention in the last few years, and reveal global properties of interacting systems in domains like biology, social sciences and technology. O...
David Meunier, Hélène Paugam-Moisy
ESANN
2006
13 years 6 months ago
Learning Visual Invariance
Invariance is a necessary feature of a visual system able to recognize real objects in all their possible appearance. It is also the processing step most problematic to understand ...
Alessio Plebe
ESANN
2006
13 years 6 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
ESANN
2006
13 years 6 months ago
Discriminacy of the minimum range approach to blind separation of bounded sources
The Blind Source Separation (BSS) problem is often solved by maximizing objective functions reflecting the statistical dependency between outputs. Since global maximization may be ...
Dinh-Tuan Pham, Frédéric Vrins
ESANN
2006
13 years 6 months ago
Outlier identification with the Harmonic Topographic Mapping
We review two versions of a topology preserving algorithm one of which we had previously [1] found to be more successful in defining smooth manifolds and tight clusters. In the con...
Marian Pena, Colin Fyfe
ESANN
2006
13 years 6 months ago
A simple idea to separate convolutive mixtures in an undetermined scenario
We consider a blind separation problem for undetermined mixtures of two BPSK signals in a multi-path fading channel. We use independence and frequency diversity of the two source s...
Maciej Pedzisz, Ali Mansour
ESANN
2006
13 years 6 months ago
On-line adaptation of neuro-prostheses with neuronal evaluation signals
Klaus Pawelzik, Udo A. Ernst, David Rotermund
ESANN
2006
13 years 6 months ago
Data mining techniques for feature selection in blood cell recognition
The paper presents and compares the data mining techniques for selection of the diagnostic features in the problem of blood cell recognition in leukemia. Different techniques are c...
Tomasz Markiewicz, Stanislaw Osowski
ESANN
2006
13 years 6 months ago
Evolving multi-segment 'super-lamprey' CPG's for increased swimming control
Abstract. `Super-lamprey' swimmers which operate over a greater control range are evolved. Propulsion in the lamprey, an eel-like fish, is governed by activity in its spinal n...
Leena N. Patel, Alan F. Murray, John Hallam