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» Convergence of a Neural Network Classifier
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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 3 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
NN
2000
Springer
161views Neural Networks» more  NN 2000»
14 years 11 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys
ICIP
2005
IEEE
16 years 1 months ago
Artificial neural network-based segmentation and apple grading by machine vision
In this paper, a computer vision based system is introduced to automatically sort apple fruits. An artificial neural network segments the defected regions on fruit by pixel-wise p...
Devrim Unay, Bernard Gosselin
ICIAR
2007
Springer
15 years 3 months ago
Comparison of ARTMAP Neural Networks for Classification for Face Recognition from Video
In video-based of face recognition applications, the What-and-Where Fusion Neural Network (WWFNN) has been shown to reduce the generalization error by accumulating a classifier�...
Mamoudou Barry, Eric Granger
DELTA
2008
IEEE
15 years 1 months ago
A Spiking Neural Network for Gas Discrimination Using a Tin Oxide Sensor Array
We propose a bio-inspired signal processing method for odor discrimination. A spiking neural network is trained with a supervised learning rule so as to classify the analog outputs...
Maxime Ambard, Bin Guo, Dominique Martinez, Amine ...