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ORCID1. MCS 2000: Cagliari, Italy
- Josef Kittler, Fabio Roli:
Multiple Classifier Systems, First International Workshop, MCS 2000, Cagliari, Italy, June 21-23, 2000, Proceedings. Lecture Notes in Computer Science 1857, Springer 2000, ISBN 3-540-67704-6
Invited Papers
- Thomas G. Dietterich:
Ensemble Methods in Machine Learning. 1-15 - Robert P. W. Duin, David M. J. Tax:
Experiments with Classifier Combining Rules. 16-29 - Amanda J. C. Sharkey, Noel E. Sharkey, Uwe Gerecke, Gopinath Odayammadath Chandroth:
The "Test and Select" Approach to Ensemble Combination. 30-44 - Sargur N. Srihari:
A Survey of Sequential Combination of Word Recognizers in Handwritten Phrase Recognition at CEDAR. 45-51 - Ching Y. Suen, Louisa Lam:
Multiple Classifier Combination Methodologies for Different Output Levels. 52-66
Theoretical Issues
- Eugene M. Kleinberg:
A Mathematically Rigorous Foundation for Supervised Learning. 67-76 - Louisa Lam:
Classifier Combinations: Implementations and Theoretical Issues. 77-86 - Wenxin Jiang:
Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification. 87-96
Multiple Classifier Fusion
- Tin Kam Ho:
Complexity of Classification Problems and Comparative Advantages of Combined Classifiers. 97-106 - Francesco Masulli, Giorgio Valentini:
Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems. 107-116 - Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin:
Combining Fisher Linear Discriminants for Dissimilarity Representations. 117-126 - Katsuhiko Takahashi, Atsushi Sato:
A Learning Method of Feature Selection for Rough Classification. 127-136 - Mark D. Happel, Peter Bock:
Analysis of a Fusion Method for Combining Marginal Classifiers. 137-146 - Shimon Cohen, Nathan Intrator:
A Hybrid Projection Based and Radial Basis Function Architecture. 147-156 - Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol:
Combining Multiple Classifiers in Probabilistic Neural Networks. 157-166 - Claudio Conversano
, Roberta Siciliano, Francesco Mola:
Supervised Classifier Combination through Generalized Additive Multi-model. 167-176 - Giorgio Giacinto, Fabio Roli:
Dynamic Classifier Selection. 177-189
Bagging and Boosting
- Marina Skurichina, Robert P. W. Duin:
Boosting in Linear Discriminant Analysis. 190-199 - Patrice Latinne, Olivier Debeir, Christine Decaestecker:
Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination. 200-209 - Juan J. Rodríguez Diez, Carlos Alonso González:
Applying Boosting to Similarity Literals for Time Series Classification. 210-219 - Cesare Furlanello, Stefano Merler:
Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS. 220-229
Design of Multiple Classifier Systems
- Sebastiano Impedovo, A. Salzo:
A New Evaluation Method for Expert Combination in Multi-expert System Designing. 230-239 - Wenjia Wang, Phillis Jones, Derek Partridge:
Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems. 240-249 - Niall Griffith, Derek Partridge:
Self-Organizing Decomposition of Functions in the Context of a Unified Framework for Multiple Classifier Systems. 250-259 - Terry Windeatt:
Classifier Instability and Partitioning. 260-269
Applications of Multiple Classifier Systems: Remote-Sensing Data Analysis
- Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford:
A Hierarchical Multiclassifier System for Hyperspectral Data Analysis. 270-279 - Jón Atli Benediktsson, Johannes R. Sveinsson:
Consensus Based Classification of Multisource Remote Sensing Data. 280-289 - Lorenzo Bruzzone, Roberto Cossu, Diego Fernández-Prieto:
Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps. 290-299 - Weijian Wan, Donald Fraser:
A Multiple Self-Organizing Map Scheme for Remote Sensing Classification. 300-309
Applications of Multiple Classifier Systems: Document Analysis
- Petr Slavík, Venu Govindaraju:
Use of Lexicon Density in Evaluating Word Recognizers. 310-319 - Vincenzo Di Lecce, Giovanni Dimauro, Andrea Guerriero, Sebastiano Impedovo, Giuseppe Pirlo, A. Salzo:
A Multi-expert System for Dynamic Signature Verification. 320-329 - Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Francesco Tortorella, Mario Vento:
A Cascaded Multiple Expert System for Verification. 330-339 - Krassimir G. Ianakiev, Venu Govindaraju:
Architecture for Classifier Combination Using Entropy Measures. 340-350
Applications of Multiple Classifier Systems: Miscellaneous Applications
- Raffaele Cappelli, Dario Maio, Davide Maltoni:
Combining Fingerprint Classifiers. 351-361 - Bernhard Fröba, Constanze Rothe, Christian Küblbeck:
Statistical Sensor Calibration for Fusion of Different Classifiers in a Biometric Person Recognition Framework. 362-371 - Anna Maria Fanelli, Giovanna Castellano, Cosimo Alessandro Buscicchio:
A Modular Neuro-Fuzzy Network for Musical Instruments Classification. 372-382 - Xiaoyi Jiang, Keren Yu, Horst Bunke:
Classifier Combination for Grammar-Guided Sentence Recognition. 383-392 - Itsuo Kumazawa:
Shape Matching and Extraction by an Array of Figure-and-Ground Classifiers. 393-402
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