Multiple Classifier Systems : 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings

by Roli, Fabio; Kittler, Josef; Windeatt, Terry

• ISBN13: 9783540221449
• ISBN10: 3540221441
• Format: Paperback
• Copyright: 2004-06-30
• Publisher: Springer Verlag

Summary

This book constitutes the refereed proceedings of the 5th International Workshop on Multiple Classifier Systems, MCS 2004, held in Cagliari, Italy in June 2004. The 35 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections on bagging and boosting, combination methods, design methods, performance analysis, and applications.

Table of Contents

Invited Papers
Classifier Ensembles for Changing Environments	1	(15)
Ludmila I. Kuncheva
A Generic Sensor Fusion Problem: Classification and Function Estimation	16	(15)
Nageswara S. V. Rao
Bagging and Boosting
AveBoost2: Boosting for Noisy Data	31	(10)
Nikunj C. Oza
Bagging Decision Multi-trees	41	(11)
Vicent Estruch
Cesar Ferri
Jose Hernandez-Orallo
Maria Jose Ramirez-Quintana
Learn++.MT: A New Approach to Incremental Learning	52	(10)
Michael Muhlbaier
Apostolos Topalis
Robi Polikar
Beyond Boosting: Recursive ECOC Learning Machines	62	(10)
Elizabeth Tapia
Jose C. Gonzalez
Alexander Hutermann
Javier Garcia
Exact Bagging with k-Nearest Neighbour Classifiers	72	(10)
Bruno Caprile
Stefano Merler
Cesare Furlanello
Giuseppe Jurman
Combination Methods
Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach	82	(10)
Marco Saerens
Francois Fouss
Combining One-Class Classifiers to Classify Missing Data	92	(10)
Piotr Juszczak
Robert P. W. Duin
Combining Kernel Information for Support Vector Classification	102	(10)
Isaac Martin de Diego
Javier M. Moguerza
Alberto Munoz
Combining Classifiers Using Dependency-Based Product Approximation with Bayes Error Rate	112	(10)
Hee-Joong Kang
Combining Dissimilarity-Based One-Class Classifiers	122	(12)
Elzbieta Pekalska
Marina Skurichina
Robert P. W. Duin
A Modular System for the Classification of Time Series Data	134	(10)
Lei Chen
Mohamed Kamel
Ju Jiang
A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles	144	(10)
Hanan Ayad
Otman Basir
Mohamed Kamel
Classifier Fusion Using Triangular Norms	154	(10)
Piero Bonissone
Kai Goebel
Weizhong Yan
Dynamic Integration of Regression Models	164	(10)
Niall Rooney
David Patterson
Sarab Anand
Alexey Tsymbal
Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule	174	(10)
Luca Didaci
Giorgio Giacinto
Design Methods
Spectral Measure for Multi-class Problems	184	(10)
Terry Windeatt
The Relationship between Classifier Factorisation and Performance in Stochastic Vector Quantisation	194	(10)
David Windridge
Robin Patenall
Josef Kittler
A Method for Designing Cost-Sensitive ECOC	204	(10)
Claudio Marrocco
Francesco Tortorella
Building Graph-Based Classifier Ensembles by Random Node Selection	214	(9)
Adam Schenker
Horst Bunke
Mark Last
Abraham Kandel
A Comparison of Ensemble Creation Techniques	223	(10)
Robert E. Banfield
Lawrence O. Hall
Kevin W. Bowyer
Divya Bhadoria
W. Philip Kegelmeyer
Steven Eschrich
Multiple Classifiers System for Reducing Influences of Atypical Observations	233	(10)
Sarunas Raudys
Masakazu Iwamura
Sharing Training Patterns among Multiple Classifiers	243	(10)
Rozita Dara
Mohamed Kamel
Performance Analysis
First Experiments on Ensembles of Radial Basis Functions	253	(10)
Carlos Hernandez-Espinosa
Mercedes Fernandez-Redondo
Joaquin Torres-Sospedra
Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias--Variance Analysis	263	(10)
Giorgio Valentini
Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers	273	(10)
Hela Zouari
Laurent Heutte
Yues Lecourtier
Adel Alimi
An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems	283	(10)
Suju Rajan
Joydeep Ghosh
Experiments on Ensembles with Missing and Noisy Data	293	(10)
Prem Melville
Nishit Shah
Lilyana Mihalkova
Raymond J. Mooney
Applications
Induced Decision Fusion in Automated Sign Language Interpretation: Using ICA to Isolate the Underlying Components of Sign	303	(11)
David Windridge
Richard Bowden
Ensembles of Classifiers Derived from Multiple Prototypes and Their Application to Handwriting Recognition	314	(10)
Simon Gunter
Horst Bunke
Network Intrusion Detection by a Multi-stage Classification System	324	(10)
Luigi Pietro Cordella
Alessandro Limongiello
Carlo Sansone
Application of Breiman's Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules	334	(10)
Vladimir Svetnik
Andy Liaw
Christopher Tong
Ting Wang
Experimental Study on Multiple LDA Classifier Combination for High Dimensional Data Classification	344	(10)
Xiaogang Wang
Xiaoou Tang
Physics-Based Decorrelation of Image Data for Decision Level Fusion in Face Verification	354	(10)
Josef Kittler
Mohammad T. Sadeghi
High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple Matchers	364	(10)
Gian Luca Marcialis
Fabio Roli
Second Guessing a Commercial `Black Box' Classifier by an `In House' Classifier: Serial Classifier Combination in a Speech Recognition Application	374	(11)
Fuad Rahman
Yuliya Tarnikova
Aman Kumar
Hassan Alam
Author Index	385