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» Using a neural network in the software testing process
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ICIP
2002
IEEE
14 years 10 months ago
Hybrid and parallel face classifier based on artificial neural networks and principal component analysis
We present a hybrid and parallel system based on artificial neural networks for a face invariant classifier and general pattern recognition problems. A set of face features is ext...
Peter V. Bazanov, Tae-Kyun Kim, Seok-Cheol Kee, Sa...
IAJIT
2010
230views more  IAJIT 2010»
13 years 7 months ago
An Unsupervised Artificial Neural Network Method for Satellite Image Segmentation
: Image segmentation is an essential step in image processing. The goal of segmentation is to simplify and/or to change the representation of an image into a form easier to analyze...
Mohamad Awad
KBSE
2002
IEEE
14 years 1 months ago
Model-Based Tests of Truisms
Software engineering (SE) truisms capture broadlyapplicable principles of software construction. The trouble with truisms is that such general principles may not apply in specifi...
Tim Menzies, David Raffo, Siri-on Setamanit, Ying ...
AADEBUG
2005
Springer
14 years 2 months ago
Code coverage testing using hardware performance monitoring support
Code coverage analysis, the process of finding code exercised by a particular set of test inputs, is an important component of software development and verification. Most tradit...
Alex Shye, Matthew Iyer, Vijay Janapa Reddi, Danie...
IWANN
2005
Springer
14 years 2 months ago
Real-Time Spiking Neural Network: An Adaptive Cerebellar Model
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
Christian Boucheny, Richard R. Carrillo, Eduardo R...