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» On Combining Classifiers
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SIGIR
1995
ACM
14 years 1 months ago
Combining Multiple Evidence from Different Properties of Weighting Schemes
It has been known that using different representations of either queries or documents, or different retrieval techniques retrieves different sets of documents. Recent work suggest...
Joon Ho Lee
JVCIR
2006
85views more  JVCIR 2006»
13 years 10 months ago
Combining geometrical and textured information to perform image classification
In this paper, we propose a framework to carry out supervised classification of images containing both textured and non textured areas. Our approach is based on active contours. U...
Jean-François Aujol, Tony F. Chan
WILF
2005
Springer
194views Fuzzy Logic» more  WILF 2005»
14 years 3 months ago
Learning Bayesian Classifiers from Gene-Expression MicroArray Data
Computing methods that allow the efficient and accurate processing of experimentally gathered data play a crucial role in biological research. The aim of this paper is to present a...
Andrea Bosin, Nicoletta Dessì, Diego Libera...
MLDM
2007
Springer
14 years 4 months ago
Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm
The color reduction in digital images is an active research area in digital image processing. In many applications such as image segmentation, analysis, compression and transmissio...
Konstantinos Zagoris, Nikos Papamarkos, Ioannis Ko...
FGR
2004
IEEE
114views Biometrics» more  FGR 2004»
14 years 2 months ago
Combining Motion Segmentation with Tracking for Activity Analysis
We explore a novel motion feature as the appropriate basis for classifying or describing a number of fine motor human activities.Ourapproach not only estimates motion directions a...
Jiang Gao, Alexander G. Hauptmann, Howard D. Wactl...