Title Multiple classifier systems : 10th International Workshop, MCS 2011, Naples, Italy, June 15-17, 2011, proceedings / Carlo Sansone, Josef Kittler, Fabio Roli (eds.)

Published Berlin ; New York : Springer, ©2011

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Description 1 online resource (xii, 372 pages) Series Lecture notes in computer science ; 6713 LNCS sublibrary. SL 6, Image processing, Computer vision, pattern recognition and graphics Lecture notes in computer science ; 6713. LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics. Contents Machine generated contents note: Invited Papers -- Ensemble Methods for Tracking and Segmentation (Abstract) / Shai Avidan -- Ensembles and Multiple Classifiers: A Game-Theoretic View / Nicolo Cesa-Bianchi -- Classifier Ensembles I -- Anomaly Detection Using Ensembles / Lawrence O. Hall -- Learning to Rank with Nonlinear Monotonic Ensemble / Konstantin Vorontsov -- Bayesian Approach for Combining Ensembles of GP Classifiers / A. Scotto di Freca -- Classifier Ensembles II -- Multiple Classifiers for Graph of Words Embedding / Horst Bunke -- Dynamic Logistic Multiple Classifier System for Online Classification / Amber Tomas -- Ensemble Methods for Reinforcement Learning with Function Approximation / Friedhelm Schwenker -- Trees and Forests -- GRASP Forest: A New Ensemble Method for Trees / Andres Bustillo -- Ensembles of Decision Trees for Imbalanced Data / Cesar Garcia-Osorio -- Compact Ensemble Trees for Imbalanced Data / Joydeep Ghosh -- One-Class Classifiers -- Pruned Random Subspace Method for One-Class Classifiers / David M.J. Tax -- Approximate Convex Hulls Family for One-Class Classification / Petia Radeva -- Multiple Kernels -- Generalized Augmentation of Multiple Kernels / Marco Loog -- Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets / David Windridge -- Two-Stage Augmented Kernel Matrix for Object Recognition / Josef Kittler -- Multiple Kernel Learning via Distance Metric Learning for Interactive Image Retrieval / Josef Kittler -- Classifier Selection -- Dynamic Ensemble Selection for Off-Line Signature Verification / Robert Sabourin -- Classifier Selection Approaches for Multi-label Problems / Fabio Roli -- Selection Strategies for pAUC-Based Combination of Dichotomizers / Francesco Tortorella -- Sequential Combination Note continued: Sequential Classifier Combination for Pattern Recognition in Wireless Sensor Networks / Horst Bunke -- Multi-class Multi-scale Stacked Sequential Learning / Oriol Pujol -- ECOC -- Comparison of Random Forest with ECOC-Based Classifiers / T. Windeatt -- Two Stage Reject Rule for ECOC Classification Systems / Francesco Tortorella -- Introducing the Separability Matrix for Error Correcting Output Codes Coding / Sergio Escalera -- Diversity -- Improving Accuracy and Speed of Optimum-Path Forest Classifier Using Combination of Disjoint Training Subsets / Joao P. Papa -- Analyzing the Relationship between Diversity and Evidential Fusion Accuracy / Yaxin Bi -- Clustering -- Classification by Cluster Analysis: A New Meta-Learning Based Approach / Chris Nugent -- C3E: A Framework for Combining Ensembles of Classifiers and Clusterers / S. Acharyya -- Latent Variable Pairwise Classification Model of a Clustering Ensemble / Vladimir Berikov -- CLOOSTING: CLustering Data with bOOSTING / V. Murino -- Biometrics -- Geometric Approach to Face Detector Combining / Oleg Seredin -- Increase the Security of Multibiometric Systems by Incorporating a Spoofing Detection Algorithm in the Fusion Mechanism / Stephanie Schuckers -- Cohort Based Approach to Multiexpert Class Verification / Amin Merati -- Computer Security -- Modular Architecture for the Analysis of HTTP Payloads Based on Multiple Classifiers / Giorgio Giacinto -- Incremental Boolean Combination of Classifiers / Robert Sabourin -- Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks / Fabio Roli -- Using a Behaviour Knowledge Space Approach for Detecting Unknown IP Traffic Flows / Antonio Quintavalle Summary This book constitutes the refereed proceedings of the 10th International Workshop on Multiple Classifier Systems, MCS 2011, held in Naples, Italy, in June 2011. The 36 revised papers presented together with two invited papers were carefully reviewed and selected from more than 50 submissions. The contributions are organized into sessions dealing with classifier ensembles; trees and forests; one-class classifiers; multiple kernels; classifier selection; sequential combination; ECOC; diversity; clustering; biometrics; and computer security Bibliography Includes bibliographical references and author index Notes English In Springer eBooks Subject Machine learning -- Congresses Neural networks (Computer science) -- Congresses Pattern perception -- Congresses Informatique. Machine learning Neural networks (Computer science) Pattern perception Genre/Form proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Sansone, Carlo, 1969- Kittler, Josef, 1946- Roli, Fabio, 1962- ISBN 9783642215575 3642215572 3642215564 9783642215568

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