Multiple Classifier Systems: First International Workshop, MCS 2000 Cagliari, Italy, June 21-23, 2000 Proceedings
Josef Kittler, Fabio Roli
Springer, Jul 26, 2000 - Machine learning - 404 pages
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.
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AdaBoost Affine transformation applications approach architecture average bagging base classifier Bayes Bayesian binary boosting bootstrap Borda count classifier combination combination methods combining classifiers combining rules computed considered cross-validation data set database decision boundaries decision trees defined dichotomizes dimensionality distance diversity ECOC ensemble error rate estimated example experts feature extraction feature selection feature sets feature space fingerprint function fusion fuzzy genetic algorithms given Handwriting Recognition handwritten hypothesis IEEE IEEE Trans IEEE Transactions improve individual classifiers input label linear linear classifiers Machine Learning majority vote maps measure modular MSOM multiple classifier systems neural nets neural networks node obtained optimal output parameters partition Pattern Recognition performance pixel posterior probabilities predictor Proc proposed random recognition rate regression reject RFLD Schapire sensor signature verification statistical strategy subsets subspace supervised learning Table techniques test set test signature training data training sample training set transformation values variable weights