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Titlebook: Multiple Classifier Systems; 7th International Wo Michal Haindl,Josef Kittler,Fabio Roli Conference proceedings 2007 Springer-Verlag Berlin

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書目名稱Multiple Classifier Systems
副標(biāo)題7th International Wo
編輯Michal Haindl,Josef Kittler,Fabio Roli
視頻videohttp://file.papertrans.cn/641/640940/640940.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Multiple Classifier Systems; 7th International Wo Michal Haindl,Josef Kittler,Fabio Roli Conference proceedings 2007 Springer-Verlag Berlin
描述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
出版日期Conference proceedings 2007
關(guān)鍵詞Bayesian network; Performance; Textur; algorithmic learning; bayesian networks; classification; cognition;
版次1
doihttps://doi.org/10.1007/978-3-540-72523-7
isbn_softcover978-3-540-72481-0
isbn_ebook978-3-540-72523-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
The information of publication is updating

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Conference proceedings 2007 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 (neura
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0302-9743 rics BioSecure and in Multimedia Understanding through Semantics, Computation and Learning MUSCLE and their assistance in selecting the contributions to the MCS978-3-540-72481-0978-3-540-72523-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Conference proceedings 2007h 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
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Multiple Classifier Systems978-3-540-72523-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Learning decision strategies with genetic algorithms, This article focuses on the problem of learning sequential decision rules for multi-agent environments. We describe the SAMUEL learning system that uses genetic algorithms and other competition based techniques to learn decision strategies for autonomous agents. One of the main themes in this resea
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