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» Ensembles of Fuzzy Classifiers
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ESWA
2006
78views more  ESWA 2006»
13 years 7 months ago
Subscription fraud prevention in telecommunications using fuzzy rules and neural networks
A system to prevent subscription fraud in fixed telecommunications with high impact on long-distance carriers is proposed. The system consists of a classification module and a pre...
Pablo A. Estévez, Claudio M. Held, Claudio ...
ECCV
2002
Springer
14 years 9 months ago
Neuro-Fuzzy Shadow Filter
In video sequence processing, shadow remains a major source of error for object segmentation. Traditional methods of shadow removal are mainly based on colour difference threshold...
Benny P. L. Lo, Guang-Zhong Yang
ICPR
2008
IEEE
14 years 8 months ago
Detecting and ordering salient regions for efficient browsing
We describe an ensemble approach to learning1 salient regions from data partitioned according to the2 distributed processing requirements of large-scale sim-3 ulations. The volume...
Larry Shoemaker, Robert E. Banfield, Larry O. Hall...
PAA
2002
13 years 7 months ago
Combining Discriminant Models with New Multi-Class SVMs
: The idea of performing model combination, instead of model selection, has a long theoretical background in statistics. However, making use of theoretical results is ordinarily su...
Yann Guermeur
MCS
2004
Springer
14 years 27 days ago
Learn++.MT: A New Approach to Incremental Learning
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
Michael Muhlbaier, Apostolos Topalis, Robi Polikar