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» Feature selection with neural networks
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ICC
2007
IEEE
155views Communications» more  ICC 2007»
14 years 3 months ago
Automatic Digital Signal Types Recognition Using SI-NN and HOS
— Recognition of digital signal type is an important topic for various applications. In this paper a method is presented that identifies different types of digital signals. This ...
Ataollah Ebrahimzadeh, Mehrdad Ardebilipour, Alire...
NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 8 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
SIBGRAPI
1999
IEEE
14 years 1 months ago
An Image Processing and Belief Network Approach to Face Detection
This work describes an approach for face detection, which is the rst stage of any fully automatedhumanface recognition system. We propose several enhancements to a feature-based ap...
Paulo Sérgio de Souza Coelho, Claudio Esper...
NN
2006
Springer
101views Neural Networks» more  NN 2006»
13 years 8 months ago
A robot model of the basal ganglia: Behavior and intrinsic processing
The existence of multiple parallel loops connecting sensorimotor systems to the basal ganglia has given rise to proposals that these nuclei serve as a selection mechanism resolvin...
Tony J. Prescott, Fernando M. Montes Gonzál...
CVPR
2008
IEEE
14 years 11 months ago
A mixed generative-discriminative framework for pedestrian classification
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
Markus Enzweiler, Dariu M. Gavrila