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Multiple classifier systems : first international workshop, MCS 2000, Cagliari, Italy, June 21-23, 2000 : proceedings

Multiple classifier systems : first international workshop, MCS 2000, Cagliari, Italy, June 21-23, 2000 : proceedings

Material type
단행본
Personal Author
Kittler, Josef, 1946-. Roli, Fabio, 1962-.
Title Statement
Multiple classifier systems : first international workshop, MCS 2000, Cagliari, Italy, June 21-23, 2000 : proceedings / Josef Kittler, Fabio Roli (eds.).
Publication, Distribution, etc
Berlin ;   New York :   Springer,   c2000.  
Physical Medium
xii, 404 p. : ill. ; 24 cm.
Series Statement
Lecture notes in computer science,0302-9743 ; 1857
ISBN
3540677046 (softcover : alk. paper)
General Note
Proceedings of the First International Workshop on Multiple Classifier Systems, June 21-23, 2000.  
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Also available via the World Wide Web.  
Subject Added Entry-Topical Term
Machine learning -- Congresses. Neural networks (Computer science) -- Congresses. Pattern perception -- Congresses. Apprentissage automatique -- Congres. Reseaux neuronaux (Informatique) -- Congres. Perception des structures -- Congres.
Short cut
URL Restricted to Springer LINK subscribers  
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245 0 0 ▼a Multiple classifier systems : ▼b first international workshop, MCS 2000, Cagliari, Italy, June 21-23, 2000 : proceedings / ▼c Josef Kittler, Fabio Roli (eds.).
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300 ▼a xii, 404 p. : ▼b ill. ; ▼c 24 cm.
440 0 ▼a Lecture notes in computer science, ▼x 0302-9743 ; ▼v 1857
500 ▼a Proceedings of the First International Workshop on Multiple Classifier Systems, June 21-23, 2000.
504 ▼a Includes bibliographical references and index.
530 ▼a Also available via the World Wide Web.
650 0 ▼a Machine learning ▼v Congresses.
650 0 ▼a Neural networks (Computer science) ▼v Congresses.
650 0 ▼a Pattern perception ▼v Congresses.
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700 1 ▼a Roli, Fabio, ▼d 1962-.
711 2 ▼a International Workshop on Multiple Classifier Systems ▼n (1st : ▼d 2000 : ▼c Cagliari, Italy)
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Holdings Information

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No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.31 M961 Accession No. 121067837 Availability Available Due Date Make a Reservation Service B M

Contents information

Author Introduction

Josef Kittler(엮은이)

Fabio Roli(엮은이)

Information Provided By: : Aladin

Table of Contents

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.


Information Provided By: : Aladin

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