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Multiple Classifier Systems

10th International Workshop, MCS 2011, Naples, Italy, June 15-17, 2011. Proceedings

Language EnglishEnglish
Book Paperback
Book Multiple Classifier Systems Carlo Sansone
Libristo code: 01658145
Publishers Springer, Berlin, November 2010
This book constitutes the refereed proceedings of the 10th International Workshop on Multiple Classi... Full description
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This book constitutes the refereed proceedings of the 10th International Workshop on Multiple Classifier Systems, MCS 2011, held in Naples, Italy, in June 2011. The 36 revised papers presented together with two invited papers were carefully reviewed and selected from more than 50 submissions. The contributions are organized into sessions dealing with classifier ensembles; trees and forests; one-class classifiers; multiple kernels; classifier selection; sequential combination; ECOC; diversity; clustering; biometrics; and computer security.

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About the book

Full name Multiple Classifier Systems
Author Carlo Sansone, Josef Kittler, Fabio Roli
Language English
Binding Book - Paperback
Date of issue 2011
Number of pages 372
EAN 9783642215568
ISBN 3642215564
Libristo code 01658145
Publishers Springer, Berlin
Weight 580
Dimensions 156 x 237 x 21

Categories

Computing & Information Technology > Digital lifestyle > Internet guides & online services > Internet searching
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer science > Artificial intelligence > Computer vision
Computing & Information Technology > Computer science > Human–computer interaction > User interface design & usability
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Databases > Information retrieval
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