1 option
Multiple Classifier Systems : Third International Workshop, MCS 2002, Cagliari, Italy, June 24-26, 2002. Proceedings / edited by Fabio Roli, Josef Kittler.
LIBRA Q341 .P7 2004
Available from offsite location
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science 0302-9743 ; 2364.
- Lecture Notes in Computer Science, 0302-9743 ; 2364
- Language:
- English
- Subjects (All):
- Computer engineering.
- Artificial intelligence.
- Pattern perception.
- Optical data processing.
- Algorithms.
- Computer Engineering.
- Artificial Intelligence.
- Pattern Recognition.
- Image Processing and Computer Vision.
- Algorithm Analysis and Problem Complexity.
- Local Subjects:
- Computer Engineering.
- Artificial Intelligence.
- Pattern Recognition.
- Image Processing and Computer Vision.
- Algorithm Analysis and Problem Complexity.
- Physical Description:
- 1 online resource (X, 342 pages).
- Edition:
- First edition 2002.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
- System Details:
- text file PDF
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-540-45428-1
- 9783540454281
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.