Multiple Classifier Systems : First International Workshop, MCS 2000 Cagliari, Italy, June 21-23, 2000 Proceedings / edited by Josef Kittler, Fabio Roli.

Format:

Book

Contributor:

Kittler, Josef, 1946- editor.

Roli, Fabio, 1962- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science 0302-9743 ; 1857.

Lecture Notes in Computer Science, 0302-9743 ; 1857

Language:

English

Subjects (All):

Pattern perception.

Artificial intelligence.

Optical data processing.

Algorithms.

Computers.

Pattern Recognition.

Artificial Intelligence.

Image Processing and Computer Vision.

Algorithm Analysis and Problem Complexity.

Computation by Abstract Devices.

Local Subjects:

Pattern Recognition.

Artificial Intelligence.

Image Processing and Computer Vision.

Algorithm Analysis and Problem Complexity.

Computation by Abstract Devices.

Physical Description:

1 online resource (XII, 408 pages).

Edition:

First edition 2000.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.

System Details:

text file PDF

Contents:

Ensemble Methods in Machine Learning

Experiments with Classifier Combining Rules

The "Test and Select" Approach to Ensemble Combination

A Survey of Sequential Combination of Word Recognizers in Handwritten Phrase Recognition at CEDAR

Multiple Classifier Combination Methodologies for Different Output Levels

A Mathematically Rigorous Foundation for Supervised Learning

Classifier Combinations: Implementations and Theoretical Issues

Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification

Complexity of Classification Problems and Comparative Advantages of Combined Classifiers

Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems

Combining Fisher Linear Discriminants for Dissimilarity Representations

A Learning Method of Feature Selection for Rough Classification

Analysis of a Fusion Method for Combining Marginal Classifiers

A hybrid projection based and radial basis function architecture

Combining Multiple Classifiers in Probabilistic Neural Networks

Supervised Classifier Combination through Generalized Additive Multi-model

Dynamic Classifier Selection

Boosting in Linear Discriminant Analysis

Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination

Applying Boosting to Similarity Literals for Time Series Classification

Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS

A New Evaluation Method for Expert Combination in Multi-expert System Designing

Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems

Self-Organizing Decomposition of Functions

Classifier Instability and Partitioning

A Hierarchical Multiclassifier System for Hyperspectral Data Analysis

Consensus Based Classification of Multisource Remote Sensing Data

Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps

A Multiple Self-Organizing Map Scheme for Remote Sensing Classification

Use of Lexicon Density in Evaluating Word Recognizers

A Multi-expert System for Dynamic Signature Verification

A Cascaded Multiple Expert System for Verification

Architecture for Classifier Combination Using Entropy Measures

Combining Fingerprint Classifiers

Statistical Sensor Calibration for Fusion of Different Classifiers in a Biometric Person Recognition Framework

A Modular Neuro-Fuzzy Network for Musical Instruments Classification

Classifier Combination for Grammar-Guided Sentence Recognition

Shape Matching and Extraction by an Array of Figure-and-Ground Classifiers.

Other Format:

Printed edition:

ISBN:

978-3-540-45014-6

9783540450146

Access Restriction:

Restricted for use by site license.