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» Neural Network Performances in Astronomical Image Processing
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ICANN
2010
Springer
15 years 2 months ago
Autonomous Generation of Internal Representations for Associative Learning
In this contribution, we explore the possibilities of learning in large-scale, multimodal processing systems operating under real-world conditions. Using an instance of a large-sca...
Michaël Garcia Ortiz, Benjamin Dittes, Jannik...
154
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JEC
2006
100views more  JEC 2006»
15 years 3 months ago
RC-SIMD: Reconfigurable communication SIMD architecture for image processing applications
During the last two decades, Single Instruction Multiple Data (SIMD) processors have become important architectures in embedded systems for image processing applications. The main ...
Hamed Fatemi, Bart Mesman, Henk Corporaal, Twan Ba...
151
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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 8 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
205
Voted
JMLR
2006
389views more  JMLR 2006»
15 years 3 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
IWANN
1997
Springer
15 years 7 months ago
Gray-Level Object Segmentation with a Network of FitzHugh-Nagumo Oscillators
Abstract. In this paper we adopt a temporal coding approach to neuronal modeling of the visual cortex, using oscillations. We propose a hierarchy of three processing modules corres...
Abderrahim Labbi, Ruggero Milanese, Holger Bosch