Lecture Notes in Computer Science

Multiple Classifier Systems

5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings

Editors: Roli, Fabio, Kittler, Josef, Windeatt, Terry (Eds.)

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-3-540-25966-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $109.00
price for USA
  • ISBN 978-3-540-22144-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The fusion of di?erent information sourcesis a persistent and intriguing issue. It hasbeenaddressedforcenturiesinvariousdisciplines,includingpoliticalscience, probability and statistics, system reliability assessment, computer science, and distributed detection in communications. Early seminal work on fusion was c- ried out by pioneers such as Laplace and von Neumann. More recently, research activities in information fusion have focused on pattern recognition. During the 1990s,classi?erfusionschemes,especiallyattheso-calleddecision-level,emerged under a plethora of di?erent names in various scienti?c communities, including machine learning, neural networks, pattern recognition, and statistics. The d- ferent nomenclatures introduced by these communities re?ected their di?erent perspectives and cultural backgrounds as well as the absence of common forums and the poor dissemination of the most important results. In 1999, the ?rst workshop on multiple classi?er systems was organized with the main goal of creating a common international forum to promote the diss- ination of the results achieved in the diverse communities and the adoption of a common terminology, thus giving the di?erent perspectives and cultural ba- grounds some concrete added value. After ?ve meetings of this workshop, there is strong evidence that signi?cant steps have been made towards this goal. - searchers from these diverse communities successfully participated in the wo- shops, and world experts presented surveys of the state of the art from the perspectives of their communities to aid cross-fertilization.

Table of contents (37 chapters)

  • Classifier Ensembles for Changing Environments

    Kuncheva, Ludmila I.

    Pages 1-15

  • A Generic Sensor Fusion Problem: Classification and Function Estimation

    Rao, Nageswara S. V.

    Pages 16-30

  • AveBoost2: Boosting for Noisy Data

    Oza, Nikunj C.

    Pages 31-40

  • Bagging Decision Multi-trees

    Estruch, Vicent (et al.)

    Pages 41-51

  • Learn++.MT: A New Approach to Incremental Learning

    Muhlbaier, Michael (et al.)

    Pages 52-61

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-3-540-25966-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $109.00
price for USA
  • ISBN 978-3-540-22144-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Multiple Classifier Systems
Book Subtitle
5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings
Editors
  • Fabio Roli
  • Josef Kittler
  • Terry Windeatt
Series Title
Lecture Notes in Computer Science
Series Volume
3077
Copyright
2004
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-25966-4
DOI
10.1007/b98227
Softcover ISBN
978-3-540-22144-9
Series ISSN
0302-9743
Edition Number
1
Number of Pages
XII, 392
Topics