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» Extracting Propositions from Trained Neural Networks
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ICIC
2005
Springer
15 years 5 months ago
Leaf Recognition Based on the Combination of Wavelet Transform and Gaussian Interpolation
: In this paper, a new approach for leaf recognition using the result of segmentation of leaf’s skeleton based on the combination of wavelet transform (WT) and Gaussian interpola...
Xiao Gu, Ji-Xiang Du, Xiaofeng Wang

Publication
234views
15 years 3 months ago
Evolution of Analog Networks using Local String Alignment on Highly Reorganizable Genomes
We introduce and apply a genetic representation for analog electronic circuits based on the association of character strings extracted from the genome with the terminals and param...
Claudio Mattiussi, Dario Floreano
IJON
2000
71views more  IJON 2000»
14 years 11 months ago
Variable selection using neural-network models
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...
Giovanna Castellano, Anna Maria Fanelli
NIPS
2008
15 years 1 months ago
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
Benjamin Schrauwen, Lars Buesing, Robert A. Legens...
FGR
2004
IEEE
182views Biometrics» more  FGR 2004»
15 years 3 months ago
Head Pose Estimation Using Stereo Vision For Human-Robot Interaction
In this paper we present a method for estimating a person's head pose with a stereo camera. Our approach focuses on the application of human-robot interaction, where people m...
Edgar Seemann, Kai Nickel, Rainer Stiefelhagen