Multiple Classifier Systems : 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings / edited by Nikunj C. Oza, Robi Polikar, Josef Kittler, Fabio Roli.

Format:

Book

Contributor:

Oza, Nikunj C., editor.

Polikar, Robi, editor.

Kittler, Josef, 1946- editor.

Roli, Fabio, 1962- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 3541.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 3541

Language:

English

Subjects (All):

Pattern perception.

Optical data processing.

Artificial intelligence.

Computers.

Pattern Recognition.

Image Processing and Computer Vision.

Artificial Intelligence.

Computation by Abstract Devices.

Local Subjects:

Pattern Recognition.

Image Processing and Computer Vision.

Artificial Intelligence.

Computation by Abstract Devices.

Physical Description:

1 online resource (XII, 432 pages).

Edition:

First edition 2005.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.

System Details:

text file PDF

Contents:

Future Directions

Semi-supervised Multiple Classifier Systems: Background and Research Directions

Boosting

Boosting GMM and Its Two Applications

Boosting Soft-Margin SVM with Feature Selection for Pedestrian Detection

Observations on Boosting Feature Selection

Boosting Multiple Classifiers Constructed by Hybrid Discriminant Analysis

Combination Methods

Decoding Rules for Error Correcting Output Code Ensembles

A Probability Model for Combining Ranks

EER of Fixed and Trainable Fusion Classifiers: A Theoretical Study with Application to Biometric Authentication Tasks

Mixture of Gaussian Processes for Combining Multiple Modalities

Dynamic Classifier Integration Method

Recursive ECOC for Microarray Data Classification

Using Dempster-Shafer Theory in MCF Systems to Reject Samples

Multiple Classifier Fusion Performance in Networked Stochastic Vector Quantisers

On Deriving the Second-Stage Training Set for Trainable Combiners

Using Independence Assumption to Improve Multimodal Biometric Fusion

Design Methods

Half-Against-Half Multi-class Support Vector Machines

Combining Feature Subsets in Feature Selection

ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments

Using Decision Tree Models and Diversity Measures in the Selection of Ensemble Classification Models

Ensembles of Classifiers from Spatially Disjoint Data

Optimising Two-Stage Recognition Systems

Design of Multiple Classifier Systems for Time Series Data

Ensemble Learning with Biased Classifiers: The Triskel Algorithm

Cluster-Based Cumulative Ensembles

Ensemble of SVMs for Incremental Learning

Performance Analysis

Design of a New Classifier Simulator

Evaluation of Diversity Measures for Binary Classifier Ensembles

Which Is the Best Multiclass SVM Method? An Empirical Study

Over-Fitting in Ensembles of Neural Network Classifiers Within ECOC Frameworks

Between Two Extremes: Examining Decompositions of the Ensemble Objective Function

Data Partitioning Evaluation Measures for Classifier Ensembles

Dynamics of Variance Reduction in Bagging and Other Techniques Based on Randomisation

Ensemble Confidence Estimates Posterior Probability

Applications

Using Domain Knowledge in the Random Subspace Method: Application to the Classification of Biomedical Spectra

An Abnormal ECG Beat Detection Approach for Long-Term Monitoring of Heart Patients Based on Hybrid Kernel Machine Ensemble

Speaker Verification Using Adapted User-Dependent Multilevel Fusion

Multi-modal Person Recognition for Vehicular Applications

Using an Ensemble of Classifiers to Audit a Production Classifier

Analysis and Modelling of Diversity Contribution to Ensemble-Based Texture Recognition Performance

Combining Audio-Based and Video-Based Shot Classification Systems for News Videos Segmentation

Designing Multiple Classifier Systems for Face Recognition

Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data.

Other Format:

Printed edition:

ISBN:

978-3-540-31578-0

9783540315780

Access Restriction:

Restricted for use by site license.