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MCS
2002
Springer
13 years 4 months ago
A Discussion on the Classifier Projection Space for Classifier Combining
In classifier combining, one tries to fuse the information that is given by a set of base classifiers. In such a process, one of the difficulties is how to deal with the variabilit...
Elzbieta Pekalska, Robert P. W. Duin, Marina Skuri...
ANNPR
2008
Springer
13 years 6 months ago
Combining Methods for Dynamic Multiple Classifier Systems
Most of what we know about multiple classifier systems is based on empirical findings, rather than theoretical results. Although there exist some theoretical results for simple and...
Amber Tomas
AAAI
2006
13 years 6 months ago
A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
Qijun Zhao, David Zhang, Hongtao Lu
ICPR
2010
IEEE
13 years 9 months ago
Boolean Combination of Classifiers in the ROC Space
Using Boolean AND and OR functions to combine the responses of multiple one- or two-class classifiers in the ROC space may significantly improve performance of a detection system o...
Wael Khreich, Eric Granger, Ali Miri, R. Sabourin
SCIA
2007
Springer
111views Image Analysis» more  SCIA 2007»
13 years 11 months ago
Scale-Space Texture Classification Using Combined Classifiers
Abstract. Since texture is scale dependent, multi-scale techniques are quite useful for texture classification. Scale-space theory introduces multi-scale differential operators. In...
Mehrdad J. Gangeh, Bart M. ter Haar Romeny, C. Esw...