Multiple Classifier Systems | 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007, Proceedings

Michal Haindl (u. a.)

ISBN 10: 3540724818 / ISBN 13: 9783540724810

Published by Springer, 2007

About this Item

Multiple Classifier Systems | 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007, Proceedings | Michal Haindl (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2007 | Springer | EAN 9783540724810 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.

Seller Inventory # 102044119

Bibliographic Details

• Title: Multiple Classifier Systems | 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007, Proceedings
• Publisher: Springer
• Publication Date: 2007
• Language: English
• ISBN 10: 3540724818
• ISBN 13: 9783540724810
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 29D millimeters 235 millimeters width by 155 millimeters height by 29 millimeters depth
• Weight: 809 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

These proceedings are a record of the Multiple Classi?er Systems Workshop, MCS 2007, held at the Institute of Information Theory and Automation, Czech Academy of Sciences, Prague in May 2007. Being the seventh in a well-established series of meetings providing an international forum for the discussion of issues in multiple classi?er system design, the workshop achieved its objective of bringing together researchers from diverse communities (neural networks, pattern rec- nition, machine learning and statistics) concerned with this research topic. From more than 80 submissions, the Programme Committee selected 49 - pers to create an interesting scienti?c programme. The special focus of MCS 2007 was on the application of multiple classi?er systems in biometrics. This part- ular application area exercises all aspects of multiple classi?er fusion, from - tramodal classi?er combination, through con?dence-based fusion, to multimodal biometric systems. The sponsorship of MCS 2007 by the European Union N- work of Excellence in Biometrics BioSecure and in Multimedia Understanding through Semantics, Computation and Learning MUSCLE and their assistance in selecting the contributions to the MCS 2007 programme consistent with this theme is gratefully acknowledged.