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Multiple Classifier Systems

Multiple Classifier Systems

8th International Workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009, Proceedings
Series: Lecture Notes in Computer Science
Subseries: Image Processing, Computer Vision, Pattern Recognition, and Graphics , Vol. 5519
Benediktsson, Jón Atli; Kittler, Josef; Roli, Fabio (Eds.)
2009, XI, 540 p., Softcover
ISBN: 978-3-642-02325-5


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About this book
About this book

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.

Keywords:
  • algorithmic learning
  • bayesian networks
  • biometric authentication
  • classification
  • classifier systems
  • clustering
  • data fragmentation
  • decision trees
  • diversity
  • document analysis
  • ensemble learning
  • ensemble prediction
  • feature extraction
  • image analysis
  • information retrieval
  • local models
  • machine learning
  • multiple classifier systems
  • neural networks
  • nonstationary environments
  • online learning
  • pattern recognition
  • performance evaluation
  • remote sensing
  • statistical learning
  • supervised learning
  • support vector machines
  • time series prediction
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