Multiple Classifier Systems
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Author |
: Nikunj C. Oza |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 440 |
Release |
: 2005-06 |
ISBN-10 |
: 9783540263067 |
ISBN-13 |
: 3540263063 |
Rating |
: 4/5 (67 Downloads) |
Synopsis Multiple Classifier Systems by : Nikunj C. Oza
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 |
: Terry Windeatt |
Publisher |
: Springer |
Total Pages |
: 417 |
Release |
: 2003-08-03 |
ISBN-10 |
: 9783540449386 |
ISBN-13 |
: 3540449388 |
Rating |
: 4/5 (86 Downloads) |
Synopsis Multiple Classifier Systems by : Terry Windeatt
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 |
: Fabio Roli |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 397 |
Release |
: 2004-06 |
ISBN-10 |
: 9783540221449 |
ISBN-13 |
: 3540221441 |
Rating |
: 4/5 (49 Downloads) |
Synopsis Multiple Classifier Systems by : Fabio Roli
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.
Author |
: Friedhelm Schwenker |
Publisher |
: Springer |
Total Pages |
: 240 |
Release |
: 2015-06-02 |
ISBN-10 |
: 9783319202488 |
ISBN-13 |
: 3319202480 |
Rating |
: 4/5 (88 Downloads) |
Synopsis Multiple Classifier Systems by : Friedhelm Schwenker
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 |
: Carlo Sansone |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 382 |
Release |
: 2011-06-14 |
ISBN-10 |
: 9783642215568 |
ISBN-13 |
: 3642215564 |
Rating |
: 4/5 (68 Downloads) |
Synopsis Multiple Classifier Systems by : Carlo Sansone
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.
Author |
: Neamat El Gayar |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 337 |
Release |
: 2010-03-25 |
ISBN-10 |
: 9783642121265 |
ISBN-13 |
: 3642121268 |
Rating |
: 4/5 (65 Downloads) |
Synopsis Multiple Classifier Systems by : Neamat El Gayar
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 |
Total Pages |
: 416 |
Release |
: 2003-06-26 |
ISBN-10 |
: 9783540450146 |
ISBN-13 |
: 3540450149 |
Rating |
: 4/5 (46 Downloads) |
Synopsis Multiple Classifier Systems by : Josef Kittler
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 |
Total Pages |
: 347 |
Release |
: 2003-08-02 |
ISBN-10 |
: 9783540454281 |
ISBN-13 |
: 3540454284 |
Rating |
: 4/5 (81 Downloads) |
Synopsis Multiple Classifier Systems by : Fabio Roli
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 |
: Jón Atli Benediktsson |
Publisher |
: Springer |
Total Pages |
: 551 |
Release |
: 2009-06-10 |
ISBN-10 |
: 9783642023262 |
ISBN-13 |
: 3642023266 |
Rating |
: 4/5 (62 Downloads) |
Synopsis Multiple Classifier Systems by : Jón Atli Benediktsson
These proceedings are a record of the Multiple Classi?er Systems Workshop, MCS 2009, held at the University of Iceland, Reykjavik, Iceland in June 2009. Being the eighth in a well-established series of meetings providing an inter- tional 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 recognition,machine learning and stat- tics) concerned with this research topic. From more than 70 submissions, the Program Committee selected 54 papers to create an interesting scienti?c program. The special focus of MCS 2009 was on the application of multiple classi?er systems in remote sensing. This part- ular application uses multiple classi?ers for raw data fusion, feature level fusion and decision level fusion. In addition to the excellent regular submission in the technical program, outstanding contributions were made by invited speakers Melba Crawford from Purdue University and Zhi-Hua Zhou of Nanjing Univ- sity. Papers of these talks are included in these workshop proceedings. With the workshop’sapplicationfocusbeingonremotesensing,Prof.Crawford’sexpertise in the use of multiple classi?cation systems in this context made the discussions on this topic at MCS 2009 particularly fruitful.
Author |
: Michal Haindl |
Publisher |
: Springer |
Total Pages |
: 535 |
Release |
: 2007-06-21 |
ISBN-10 |
: 9783540725237 |
ISBN-13 |
: 3540725237 |
Rating |
: 4/5 (37 Downloads) |
Synopsis Multiple Classifier Systems by : Michal Haindl
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.