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ORCID10. MCS 2011: Naples, Italy
- Carlo Sansone
, Josef Kittler, Fabio Roli:
Multiple Classifier Systems - 10th International Workshop, MCS 2011, Naples, Italy, June 15-17, 2011. Proceedings. Lecture Notes in Computer Science 6713, Springer 2011, ISBN 978-3-642-21556-8
Invited Papers
- Shai Avidan:
Ensemble Methods for Tracking and Segmentation (Abstract). 1 - Nicolò Cesa-Bianchi:
Ensembles and Multiple Classifiers: A Game-Theoretic View. 2-5
Classifier Ensembles I
- Larry Shoemaker, Lawrence O. Hall:
Anomaly Detection Using Ensembles. 6-15 - Nikita Spirin, Konstantin V. Vorontsov:
Learning to Rank with Nonlinear Monotonic Ensemble. 16-25 - Claudio De Stefano, Francesco Fontanella, Gianluigi Folino, Alessandra Scotto di Freca:
A Bayesian Approach for Combining Ensembles of GP Classifiers. 26-35
Classifier Ensembles II
- Jaume Gibert, Ernest Valveny, Oriol Ramos Terrades, Horst Bunke:
Multiple Classifiers for Graph of Words Embedding. 36-45 - Amber Tomas:
A Dynamic Logistic Multiple Classifier System for Online Classification. 46-55 - Stefan Faußer, Friedhelm Schwenker:
Ensemble Methods for Reinforcement Learning with Function Approximation. 56-65
Trees and Forests
- José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez, Andrés Bustillo:
GRASP Forest: A New Ensemble Method for Trees. 66-75 - Juan José Rodríguez, José-Francisco Díez-Pastor, César Ignacio García-Osorio:
Ensembles of Decision Trees for Imbalanced Data. 76-85 - Yubin Park, Joydeep Ghosh:
Compact Ensemble Trees for Imbalanced Data. 86-95
One-Class Classifiers
- Veronika Cheplygina, David M. J. Tax:
Pruned Random Subspace Method for One-Class Classifiers. 96-105 - Pierluigi Casale, Oriol Pujol, Petia Radeva:
Approximate Convex Hulls Family for One-Class Classification. 106-115
Multiple Kernels
- Wan-Jui Lee, Robert P. W. Duin, Marco Loog:
Generalized Augmentation of Multiple Kernels. 116-125 - Maxim Panov, Alexander Tatarchuk, Vadim Mottl, David Windridge:
A Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets. 126-136 - Muhammad Awais, Fei Yan, Krystian Mikolajczyk, Josef Kittler:
Two-Stage Augmented Kernel Matrix for Object Recognition. 137-146 - Fei Yan, Krystian Mikolajczyk, Josef Kittler:
Multiple Kernel Learning via Distance Metric Learning for Interactive Image Retrieval. 147-156
Classifier Selection
- Luana Batista, Eric Granger, Robert Sabourin:
Dynamic Ensemble Selection for Off-Line Signature Verification. 157-166 - Ignazio Pillai, Giorgio Fumera, Fabio Roli:
Classifier Selection Approaches for Multi-label Problems. 167-176 - Maria Teresa Ricamato, Mario Molinara, Francesco Tortorella:
Selection Strategies for pAUC-Based Combination of Dichotomizers. 177-186
Sequential Combination
- János Csirik, Peter Bertholet, Horst Bunke:
Sequential Classifier Combination for Pattern Recognition in Wireless Sensor Networks. 187-196 - Eloi Puertas, Sergio Escalera, Oriol Pujol:
Multi-class Multi-scale Stacked Sequential Learning. 197-206
ECOC
- Raymond S. Smith, M. Bober, Terry Windeatt:
A Comparison of Random Forest with ECOC-Based Classifiers. 207-216 - Paolo Simeone, Claudio Marrocco, Francesco Tortorella:
Two Stage Reject Rule for ECOC Classification Systems. 217-226 - Miguel Ángel Bautista, Oriol Pujol, Xavier Baró, Sergio Escalera:
Introducing the Separability Matrix for Error Correcting Output Codes Coding. 227-236
Diversity
- Moacir P. Ponti Jr., João P. Papa:
Improving Accuracy and Speed of Optimum-Path Forest Classifier Using Combination of Disjoint Training Subsets. 237-248 - Yaxin Bi:
Analyzing the Relationship between Diversity and Evidential Fusion Accuracy. 249-258
Clustering
- Anna Jurek, Yaxin Bi, Shengli Wu, Chris D. Nugent:
Classification by Cluster Analysis: A New Meta-Learning Based Approach. 259-268 - Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya:
C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers. 269-278 - Vladimir B. Berikov:
A Latent Variable Pairwise Classification Model of a Clustering Ensemble. 279-288 - Fabrizio Smeraldi, Manuele Bicego, Marco Cristani, Vittorio Murino:
CLOOSTING: CLustering Data with bOOSTING. 289-298
Biometrics
- Nikolay Degtyarev, Oleg Seredin:
A Geometric Approach to Face Detector Combining. 299-308 - Emanuela Marasco, Peter Johnson, Carlo Sansone, Stephanie A. C. Schuckers:
Increase the Security of Multibiometric Systems by Incorporating a Spoofing Detection Algorithm in the Fusion Mechanism. 309-318 - Josef Kittler, Norman Poh, Amin Merati:
Cohort Based Approach to Multiexpert Class Verification. 319-329
Computer Security
- Davide Ariu, Giorgio Giacinto:
A Modular Architecture for the Analysis of HTTP Payloads Based on Multiple Classifiers. 330-339 - Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin:
Incremental Boolean Combination of Classifiers. 340-349 - Battista Biggio, Igino Corona, Giorgio Fumera, Giorgio Giacinto, Fabio Roli:
Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks. 350-359 - Alberto Dainotti, Antonio Pescapè, Carlo Sansone, Antonio Quintavalle:
Using a Behaviour Knowledge Space Approach for Detecting Unknown IP Traffic Flows. 360-369
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