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» Detecting critical regions in multidimensional data sets
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IJCNN
2006
IEEE
14 years 1 months ago
A computational intelligence-based criterion to detect non-stationarity trends
—The stationarity hypothesis is largely and implicitly assumed when designing classifiers (especially those for industrial applications) but it does not generally hold in practic...
Cesare Alippi, Manuel Roveri
BMCBI
2005
91views more  BMCBI 2005»
13 years 7 months ago
Providing visualisation support for the analysis of anatomy ontology data
Background: Improvements in technology have been accompanied by the generation of large amounts of complex data. This same technology must be harnessed effectively if the knowledg...
Aba-Sah Dadzie, Albert Burger
VIS
2009
IEEE
238views Visualization» more  VIS 2009»
14 years 9 months ago
An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research
Confocal microscopy is widely used in neurobiology for studying the three-dimensional structure of the nervous system. Confocal image data are often multi-channel, with each channe...
Yong Wan, Hideo Otsuna, Chi-Bin Chien, Charles ...
VIIP
2001
13 years 9 months ago
Visual Behavior Characterization for Intrusion Detection in Large Scale Systems
This work focuses on the visual representation of relations towards aiding the exploration and analysis of network intrusions. Fundamentally, the visual representations aid an ana...
Robert F. Erbacher
CVPR
2005
IEEE
14 years 9 months ago
Online Detection and Classification of Moving Objects Using Progressively Improving Detectors
Boosting based detection methods have successfully been used for robust detection of faces and pedestrians. However, a very large amount of labeled examples are required for train...
Omar Javed, Saad Ali, Mubarak Shah