Multiple Classifier Systems

Multiple Classifier Systems PDF Author: Nikunj C. Oza
Publisher: Springer Science & Business Media
ISBN: 3540263063
Category : Computers
Languages : en
Pages : 440

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Book Description
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.

Multiple Classifier Systems

Multiple Classifier Systems PDF Author: Nikunj C. Oza
Publisher: Springer Science & Business Media
ISBN: 3540263063
Category : Computers
Languages : en
Pages : 440

Get Book Here

Book Description
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.

Multiple Classifier Systems

Multiple Classifier Systems PDF Author: Carlo Sansone
Publisher: Springer Science & Business Media
ISBN: 3642215564
Category : Computers
Languages : en
Pages : 382

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Book Description
This book constitutes the refereed proceedings of the 10th International Workshop on Multiple Classifier Systems, MCS 2011, held in Naples, Italy, in June 2011. The 36 revised papers presented together with two invited papers were carefully reviewed and selected from more than 50 submissions. The contributions are organized into sessions dealing with classifier ensembles; trees and forests; one-class classifiers; multiple kernels; classifier selection; sequential combination; ECOC; diversity; clustering; biometrics; and computer security.

Multiple Classifier Systems

Multiple Classifier Systems PDF Author: Fabio Roli
Publisher: Springer Science & Business Media
ISBN: 3540221441
Category : Computers
Languages : en
Pages : 397

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Book Description
This book constitutes the refereed proceedings of the 5th International Workshop on Multiple Classifier Systems, MCS 2004, held in Cagliari, Italy in June 2004. The 35 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections on bagging and boosting, combination methods, design methods, performance analysis, and applications.

Multiple Classifier Systems

Multiple Classifier Systems PDF Author: Jón Atli Benediktsson
Publisher: Springer Science & Business Media
ISBN: 3642023258
Category : Computers
Languages : en
Pages : 551

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Book Description
This book constitutes the refereed proceedings of the 8th International Workshop on Multiple Classifier Systems, MCS 2009, held in Reykjavik, Iceland, in June 2009. The 52 revised full papers presented together with 2 invited papers were carefully reviewed and selected from more than 70 initial submissions. The papers are organized in topical sections on ECOC boosting and bagging, MCS in remote sensing, unbalanced data and decision templates, stacked generalization and active learning, concept drift, missing values and random forest, SVM ensembles, fusion of graphics, concepts and categorical data, clustering, and finally theory, methods and applications of MCS.

Multiple Classifier Systems

Multiple Classifier Systems PDF Author: Terry Windeatt
Publisher: Springer Science & Business Media
ISBN: 3540403698
Category : Business & Economics
Languages : en
Pages : 417

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Book Description
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

Hybrid Methods in Pattern Recognition

Hybrid Methods in Pattern Recognition PDF Author: Horst Bunke
Publisher: World Scientific
ISBN: 9810248326
Category : Technology & Engineering
Languages : en
Pages : 338

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Book Description
The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. A large number of different approaches have been proposed. Hybrid methods aim at combining the advantages of different paradigms within a single system. Hybrid Methods in Pattern Recognition is a collection of articles describing recent progress in this emerging field. It covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, the combination of symbolic and subsymbolic learning, and so on. Also included is recent work on multiple classifier systems. Furthermore, the book deals with applications in on-line and off-line handwriting recognition, remotely sensed image interpretation, fingerprint identification, and automatic text categorization.

Multiple Classifier Systems

Multiple Classifier Systems PDF Author: Josef Kittler
Publisher: Springer
ISBN: 3540450149
Category : Computers
Languages : en
Pages : 416

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Book Description
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.

Multiple Classifier Systems

Multiple Classifier Systems PDF Author: Fabio Roli
Publisher: Springer
ISBN: 3540454284
Category : Computers
Languages : en
Pages : 347

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Book Description
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.

A Grammar of Murui (Bue)

A Grammar of Murui (Bue) PDF Author: Katarzyna I. Wojtylak
Publisher: BRILL
ISBN: 9004432671
Category : Language Arts & Disciplines
Languages : en
Pages : 613

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Book Description
In A Grammar of Murui (Bue), Katarzyna Wojtylak provides the first complete description of Murui, an endangered Witotoan language, spoken by the Murui-Muina (Witoto) people from Colombia and Peru. The grammar is written from a functional and typological perspective, using natural language data gathered during several fieldtrips to the Caquetá-Putumayo region between 2013 and 2017. The many remarkable characteristics of Murui include a complex system of classifiers, differential subject and object marking, person-marking verb morphology, evidential and epistemic marking, head-tail linkage, and a system of numerals, including the fraternal (brother-based) forms for ‘three’ and ‘four’. The grammar represents an important contribution to the study of Witotoan languages, linguistic typology of Northwest Amazonia, and language contact in the area.

Multiple Classifier Systems

Multiple Classifier Systems PDF Author: Michal Haindl
Publisher: Springer
ISBN: 3540725237
Category : Computers
Languages : en
Pages : 535

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Book Description
This book constitutes the refereed proceedings of the 7th International Workshop on Multiple Classifier Systems, MCS 2007, held in Prague, Czech Republic in May 2007. It covers kernel-based fusion, applications, boosting, cluster and graph ensembles, feature subspace ensembles, multiple classifier system theory, intramodal and multimodal fusion of biometric experts, majority voting, and ensemble learning.