PAA - Special Issue Call "Fusion of Multiple Classifiers"

[Giorgio Giacinto]

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Pattern Analysis and Applications Journal
          Special Issue Call
     Fusion of Multiple Classifiers
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Guest Editors: J. Kittler and F. Roli

Deadline: 15 October 2000

Classifier fusion has recently become an important tool for enhancing the
performance of pattern recognition systems. A myriad of techniques have been
developed for combining classifiers at the decision or soft decision output
level. These techniques have been conceived by researchers in many diverse
communities including Machine Learning, Pattern Recognition, Neural
Networks, Statistics, and Artificial Intelligence. The aim of this special
issue is to provide a focal point for recent advances in this methodological
area of pattern recognition across different paradigms and disciplines.

Submitted papers should report new theories underpinning classifier
combination, novel methodologies, applications where classifier fusion
significantly enhanced the recognition system performance, or extensive
comparative studies of different combination rules.

Topics appropriate for this special issue include, but are not limited to:
* Decision level fusion
* Strategies for multiple classifier fusion
* Bagging and boosting
* Neural network ensembles
* Multiple classifier design
* Fusion of one-class classifiers
* Fusion of measurement and contextual information
* Innovative applications

Send four copies of your manuscript (marked "MCS SPECIAL ISSUE") by October
15, 2000 to the following address:

Sameer Singh, Editor-in-Chief, Pattern Analysis and Applications, Department
of Computer Science, University of Exeter, Exeter EX4 4PT, UK

For instructions to authors, please see:
http://www.dcs.ex.ac.uk/paa/authors.htm

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Dr. Giorgio Giacinto, Ph.D.
Department of Electrical and Electronic Engineering
University of Cagliari, Italy
e-mail: giorgio.giacinto at computer.org