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» Edge Detection Based on Spiking Neural Network Model
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PR
2007
101views more  PR 2007»
13 years 7 months ago
Use of power law models in detecting region of interest
In this paper, we shall address the issue of semantic extraction of different regions of interest. The proposed approach is based on statistical methods and models inspired from l...
Yves Caron, Pascal Makris, Nicole Vincent
JCIT
2010
156views more  JCIT 2010»
13 years 2 months ago
Intelligent Monitoring Approach for Pipeline Defect Detection from MFL Inspection
Artificial Neural Networks(ANNS) have top level of capability to progress the estimation of cracks in metal tubes. The aim of this paper is to propose an algorithm to identify mod...
Saeedreza Ehteram, Seyed Zeinolabedin Moussavi, Mo...
ICIP
2005
IEEE
14 years 9 months ago
Trainable post-processing method to reduce false alarms in the detection of small blotches of archive films
We have developed a new semi-automatic neural network based method to detect blotches with low false alarm rate on archive films. Blotches can be modeled as temporal intensity disc...
Attila Licsár, László Cz&uacu...
IJCNN
2006
IEEE
14 years 2 months ago
Small-catchment flood forecasting and drainage network extraction using computational intelligence
— Forecast, detection and warning of severe weather and related hydro-geological risks is becoming one of the major issues for civil protection. The use of computational intellig...
Erika Coppola, Barbara Tomassetti, Marco Verdecchi...
IJCNN
2007
IEEE
14 years 2 months ago
A Cell Assembly Model of Sequential Memory
—Perception, prediction and generation of sequences is a fundamental aspect of human behavior and depends on the ability to detect serial order. This paper presents a plausible m...
Hina Ghalib, Christian R. Huyck