[(Multiple Classifier Systems : First International Workshop, Mcs 2000 Cagliari, Italy, June 21-23, 2000 Proceedings)] [Edited by Josef Kittler ] published on (July, 2000)

Josef Kittler

ISBN 10: 3540677046 / ISBN 13: 9783540677048

Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. K 2000-07-01, 2000

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Codice articolo 6666-IUK-9783540677048

Dati bibliografici

• Titolo: [(Multiple Classifier Systems : First International Workshop, Mcs 2000 Cagliari, Italy, June 21-23, 2000 Proceedings)] [Edited by Josef Kittler ] published on (July, 2000)
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. K 2000-07-01
• Data di pubblicazione: 2000
• Lingua: Inglese
• ISBN 10: 3540677046
• ISBN 13: 9783540677048
• Rilegatura: Paperback
• Condizione: New

Descrizione articolo

Riassunto

based on modi?cations to the training and/or the feature set [7,8,12,21].

Contenuti

Ensemble Methods in Machine Learning.- Experiments with Classifier Combining Rules.- The “Test and Select” Approach to Ensemble Combination.- A Survey of Sequential Combination of Word Recognizers in Handwritten Phrase Recognition at CEDAR.- Multiple Classifier Combination Methodologies for Different Output Levels.- A Mathematically Rigorous Foundation for Supervised Learning.- Classifier Combinations: Implementations and Theoretical Issues.- Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification.- Complexity of Classification Problems and Comparative Advantages of Combined Classifiers.- Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems.- Combining Fisher Linear Discriminants for Dissimilarity Representations.- A Learning Method of Feature Selection for Rough Classification.- Analysis of a Fusion Method for Combining Marginal Classifiers.- A hybrid projection based and radial basis function architecture.- Combining Multiple Classifiers in Probabilistic Neural Networks.- Supervised Classifier Combination through Generalized Additive Multi-model.- Dynamic Classifier Selection.- Boosting in Linear Discriminant Analysis.- Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination.- Applying Boosting to Similarity Literals for Time Series Classification.- Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS.- A New Evaluation Method for Expert Combination in Multi-expert System Designing.- Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems.- Self-Organizing Decomposition of Functions.- Classifier Instability and Partitioning.- A Hierarchical Multiclassifier System for Hyperspectral Data Analysis.- Consensus Based Classification of Multisource Remote Sensing Data.- Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps.- A Multiple Self-Organizing Map Scheme for Remote Sensing Classification.- Use of Lexicon Density in Evaluating Word Recognizers.- A Multi-expert System for Dynamic Signature Verification.- A Cascaded Multiple Expert System for Verification.- Architecture for Classifier Combination Using Entropy Measures.- Combining Fingerprint Classifiers.- Statistical Sensor Calibration for Fusion of Different Classifiers in a Biometric Person Recognition Framework.- A Modular Neuro-Fuzzy Network for Musical Instruments Classification.- Classifier Combination for Grammar-Guided Sentence Recognition.- Shape Matching and Extraction by an Array of Figure-and-Ground Classifiers.