Multiple Classifier Systems Third International Workshop, MCS 2002, Cagliari, Italy, June 24-26, 2002. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Roli, Fabio (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kittler, Josef (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
• Έκδοση: 1st ed. 2002.
• Σειρά: Lecture Notes in Computer Science, 2364
• Θέματα: Computer engineering.; Artificial intelligence.; Pattern recognition.; Optical data processing.; Algorithms.; Computer Engineering.; Artificial Intelligence.; Pattern Recognition.; Image Processing and Computer Vision.; Algorithm Analysis and Problem Complexity.

Πίνακας περιεχομένων:

• Invited Papers
• Multiclassifier Systems: Back to the Future
• Support Vector Machines, Kernel Logistic Regression and Boosting
• Multiple Classification Systems in the Context of Feature Extraction and Selection
• Bagging and Boosting
• Boosted Tree Ensembles for Solving Multiclass Problems
• Distributed Pasting of Small Votes
• Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy
• Highlighting Hard Patterns via AdaBoost Weights Evolution
• Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse
• Ensemble Learning and Neural Networks
• Multistage Neural Network Ensembles
• Forward and Backward Selection in Regression Hybrid Network
• Types of Multinet System
• Discriminant Analysis and Factorial Multiple Splits in Recursive Partitioning for Data Mining
• Design Methodologies
• New Measure of Classifier Dependency in Multiple Classifier Systems
• A Discussion on the Classifier Projection Space for Classifier Combining
• On the General Application of the Tomographic Classifier Fusion Methodology
• Post-processing of Classifier Outputs in Multiple Classifier Systems
• Combination Strategies
• Trainable Multiple Classifier Schemes for Handwritten Character Recognition
• Generating Classifier Ensembles from Multiple Prototypes and Its Application to Handwriting Recognition
• Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data
• Stacking with Multi-response Model Trees
• On Combining One-Class Classifiers for Image Database Retrieval
• Analysis and Performance Evaluation
• Bias-Variance Analysis and Ensembles of SVM
• An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs
• Reduction of the Boasting Bias of Linear Experts
• Analysis of Linear and Order Statistics Combiners for Fusion of Imbalanced Classifiers
• Applications
• Boosting and Classification of Electronic Nose Data
• Content-Based Classification of Digital Photos
• Classifier Combination for In Vivo Magnetic Resonance Spectra of Brain Tumours
• Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach
• A Multi-expert System for Movie Segmentation
• Decision Level Fusion of Intramodal Personal Identity Verification Experts
• An Experimental Comparison of Classifier Fusion Rules for Multimodal Personal Identity Verification Systems.