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» Prototype selection for dissimilarity-based classifiers
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ASWC
2008
Springer
13 years 8 months ago
A Formal Model for Classifying Trusted Semantic Web Services
Abstract. Semantic Web Services (SWS) aim to alleviate Web service limitations, by combining Web service technologies with the potential of Semantic Web. Several open issues have t...
Stefania Galizia, Alessio Gugliotta, Carlos Pedrin...
ICPR
2002
IEEE
14 years 7 months ago
The Economics of Classification: Error vs. Complexity
Although usually classifier error is the main concern in publications, in real applications classifier evaluation complexity may play a large role as well. In this paper, a simple...
Dick de Ridder, Elzbieta Pekalska, Robert P. W. Du...
HIS
2004
13 years 7 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
ICPR
2008
IEEE
14 years 17 days ago
A colour text/graphics separation based on a graph representation
In this paper, a colour text/graphics segmentation is proposed. Firstly, it takes advantage of colour properties by computing a relevant hybrid colour model. Then an edge detectio...
Romain Raveaux, Jean-Christophe Burie, Jean-Marc O...
PAA
2006
13 years 6 months ago
Efficient median based clustering and classification techniques for protein sequences
Abstract In this paper, an efficient K-medians clustering (unsupervised) algorithm for prototype selection and Supervised K-medians (SKM) classification technique for protein seque...
P. A. Vijaya, M. Narasimha Murty, D. K. Subramania...