Multiple Classifier Systems

Author : Nikunj C. Oza
Publisher : Springer Science & Business Media
ISBN 13 : 3540263063
Total Pages : 440 pages
Book Rating : 4.67/5 ( download)

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Download or read book Multiple Classifier Systems written by Nikunj C. Oza and published by Springer Science & Business Media. This book was released on 2005-06 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Workshop on Multiple Classifier Systems, MCS 2005, held in Seaside, CA, USA in June 2005. The 42 revised full papers presented were carefully reviewed and are organized in topical sections on boosting, combination methods, design of ensembles, performance analysis, and applications. They exemplify significant advances in the theory, algorithms, and applications of multiple classifier systems – bringing the different scientific communities together.

Author : Josef Kittler
Publisher : Springer
ISBN 13 : 3540482199
Total Pages : 456 pages
Book Rating : 4.92/5 ( download)

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Download or read book Multiple Classifier Systems written by Josef Kittler and published by Springer. This book was released on 2003-05-15 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Driven by the requirements of a large number of practical and commercially - portant applications, the last decade has witnessed considerable advances in p- tern recognition. Better understanding of the design issues and new paradigms, such as the Support Vector Machine, have contributed to the development of - proved methods of pattern classi cation. However, while any performance gains are welcome, and often extremely signi cant from the practical point of view, it is increasingly more challenging to reach the point of perfection as de ned by the theoretical optimality of decision making in a given decision framework. The asymptoticity of gains that can be made for a single classi er is a re?- tion of the fact that any particular design, regardless of how good it is, simply provides just one estimate of the optimal decision rule. This observation has motivated the recent interest in Multiple Classi er Systems , which aim to make use of several designs jointly to obtain a better estimate of the optimal decision boundary and thus improve the system performance. This volume contains the proceedings of the international workshop on Multiple Classi er Systems held at Robinson College, Cambridge, United Kingdom (July 2{4, 2001), which was organized to provide a forum for researchers in this subject area to exchange views and report their latest results.

Author : Terry Windeatt
Publisher : Springer Science & Business Media
ISBN 13 : 3540403698
Total Pages : 417 pages
Book Rating : 4.92/5 ( download)

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Download or read book Multiple Classifier Systems written by Terry Windeatt and published by Springer Science & Business Media. This book was released on 2003-05-27 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Workshop on Multiple Classifier Systems, MCS 2003, held in Guildford, UK in June 2003. The 40 revised full papers presented with one invited paper were carefully reviewed and selected for presentation. The papers are organized in topical sections on boosting, combination rules, multi-class methods, fusion schemes and architectures, neural network ensembles, ensemble strategies, and applications

Author : Friedhelm Schwenker
Publisher : Springer
ISBN 13 : 3319202480
Total Pages : 231 pages
Book Rating : 4.88/5 ( download)

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Download or read book Multiple Classifier Systems written by Friedhelm Schwenker and published by Springer. This book was released on 2015-06-02 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Workshop on Multiple Classifier Systems, MCS 2015, held in Günzburg, Germany, in June/July 2015. The 19 revised papers presented were carefully reviewed and selected from 25 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics. They are organized in topical sections on theory and algorithms and application and evaluation.

Author : Nikunj C. Oza
Publisher : Springer
ISBN 13 : 3540315780
Total Pages : 440 pages
Book Rating : 4.80/5 ( download)

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Download or read book Multiple Classifier Systems written by Nikunj C. Oza and published by Springer. This book was released on 2005-06-02 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following its five predecessors published by Springer, this volume contains the proceedings of the 6th International Workshop on Multiple Classifier Systems (MCS 2005) held at the Embassy Suites in Seaside, California, USA, June 13 –15, 2005.

Author : Neamat El Gayar
Publisher : Springer Science & Business Media
ISBN 13 : 3642121268
Total Pages : 337 pages
Book Rating : 4.65/5 ( download)

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Download or read book Multiple Classifier Systems written by Neamat El Gayar and published by Springer Science & Business Media. This book was released on 2010-03-25 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 9th International Workshop on Multiple Classifier Systems, MCS 2010, held in Cairo, Egypt, in April 2010. The 31 papers presented were carefully reviewed and selected from 50 submissions. The contributions are organized into sessions dealing with classifier combination and classifier selection, diversity, bagging and boosting, combination of multiple kernels, and applications.

Author : Josef Kittler
Publisher : Springer
ISBN 13 : 3540450149
Total Pages : 408 pages
Book Rating : 4.46/5 ( download)

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Download or read book Multiple Classifier Systems written by Josef Kittler and published by Springer. This book was released on 2003-06-26 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Workshop on Multiple Classifier Systems, MCS 2000, held in Cagliari, Italy in June 2000.The 33 revised full papers presented together with five invited papers were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on theoretical issues, multiple classifier fusion, bagging and boosting, design of multiple classifier systems, applications of multiple classifier systems, document analysis, and miscellaneous applications.

Author : Fabio Roli
Publisher : Springer
ISBN 13 : 3540454284
Total Pages : 342 pages
Book Rating : 4.81/5 ( download)

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Download or read book Multiple Classifier Systems written by Fabio Roli and published by Springer. This book was released on 2003-08-02 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop on Multiple Classifier Systems, MCS 2002, held in Cagliari, Italy, in June 2002.The 29 revised full papers presented together with three invited papers were carefully reviewed and selected for inclusion in the volume. The papers are organized in topical sections on bagging and boosting, ensemble learning and neural networks, design methodologies, combination strategies, analysis and performance evaluation, and applications.

Author : Zhi-Hua Zhou
Publisher :
ISBN 13 : 9783642380686
Total Pages : 414 pages
Book Rating : 4.89/5 ( download)

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Download or read book Multiple Classifier Systems written by Zhi-Hua Zhou and published by . This book was released on 2013-04-24 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Fabio Roli
Publisher : Springer
ISBN 13 : 354025966X
Total Pages : 397 pages
Book Rating : 4.64/5 ( download)

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Download or read book Multiple Classifier Systems written by Fabio Roli and published by Springer. This book was released on 2004-09-21 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.