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» Cluster detection algorithm in neural networks
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ISCIS
2005
Springer
14 years 4 months ago
Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks
Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization perfo...
Zeki Erdem, Robi Polikar, Nejat Yumusak, Fikret S....
BMCBI
2006
144views more  BMCBI 2006»
13 years 10 months ago
More robust detection of motifs in coexpressed genes by using phylogenetic information
Background: Several motif detection algorithms have been developed to discover overrepresented motifs in sets of coexpressed genes. However, in a noisy gene list, the number of ge...
Pieter Monsieurs, Gert Thijs, Abeer A. Fadda, Sigr...
IJHPCA
2002
99views more  IJHPCA 2002»
13 years 10 months ago
Semantic Information Fusion for Coordinated Signal Processing in Mobile Sensor Networks
Distributed cognition of dynamic processes is commonly observed in mobile groups of animates like schools of fish, hunting lions, or in human teams for sports or military maneuvers...
David Friedlander, Shashi Phoha
ICIP
1999
IEEE
15 years 10 days ago
Roc Curves for Performance Evaluation of Video Sequences Processing Systems for Surveillance Applications
Performances evaluation of image processing intermediate results in video based surveillance systems is extremely important due to the variety of approaches to this task. In this ...
Franco Oberti, Andrea Teschioni, Carlo S. Regazzon...
IJDSN
2006
114views more  IJDSN 2006»
13 years 10 months ago
The Sleep Deprivation Attack in Sensor Networks: Analysis and Methods of Defense
The ability of sensor nodes to enter a low power sleep mode is very useful for extending network longevity. We show how adversary nodes can exploit clustering algorithms to ensure ...
Matthew Pirretti, Sencun Zhu, Narayanan Vijaykrish...