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Multiple Classifier Systems 7th International Workshop Mcs 2007 Prague Czech Republic May 2325 2007 Proceedings 1st Edition Vadim Mottl

  • SKU: BELL-1227102
Multiple Classifier Systems 7th International Workshop Mcs 2007 Prague Czech Republic May 2325 2007 Proceedings 1st Edition Vadim Mottl
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Multiple Classifier Systems 7th International Workshop Mcs 2007 Prague Czech Republic May 2325 2007 Proceedings 1st Edition Vadim Mottl instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 6.84 MB
Pages: 524
Author: Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin (auth.), Michal Haindl, Josef Kittler, Fabio Roli (eds.)
ISBN: 9783540724810, 9783540725237, 3540724818, 3540725237
Language: English
Year: 2007
Edition: 1

Product desciption

Multiple Classifier Systems 7th International Workshop Mcs 2007 Prague Czech Republic May 2325 2007 Proceedings 1st Edition Vadim Mottl by Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin (auth.), Michal Haindl, Josef Kittler, Fabio Roli (eds.) 9783540724810, 9783540725237, 3540724818, 3540725237 instant download after payment.

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.

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