Hybrid methods in pattern recognition (Series in machine perception and artificial intelligence - vol. 47)

The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. A large number of different approaches have been proposed. Hybrid methods aim at combining the advantages of different paradigms within a single system.Hybrid Methods in Pattern Recognition is a col...

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Bibliographic Details
Main Authors: Bunke, H, Kandel, A
Format: eBook Book
Language:English
Published: New Jersey World Scientific Publishing Co. Pte. Ltd 2002
World Scientific
World Scientific Publishing Company
WORLD SCIENTIFIC
World Scientific Publishing
Edition:1
Series:Series in machine perception and artificial intelligence
Subjects:
Artificial Intelligence (Machine Learning, Neural Networks, Fuzzy Logic)
Computer Science
COMPUTERS
Electrical & Electronic Engineering (Circuits & Systems, Communications, Control, Computer Engineering)
Networking
Neural Networks
Neural networks (Computer science)
Pattern recognition systems
Robotics (Machine Vision, Pattern Recognition)
Multiple Classifier System
Fuzzy Systems
Data Mining
Clustering
Fingerprint Identification
Machine Learning
Granular Computing
Neural Network
Pattern Recognition
Neural Network Fusion
Image Processing
Soft Computing
Hidden Markov Model
Handwriting Recognition
ISBN:9789810248321, 9810248326, 9812778144, 9789812778147
Online Access:Get full text
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Description
Summary:The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. A large number of different approaches have been proposed. Hybrid methods aim at combining the advantages of different paradigms within a single system.Hybrid Methods in Pattern Recognition is a collection of articles describing recent progress in this emerging field. It covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, the combination of symbolic and subsymbolic learning, and others. Also included is recent work on multiple classifier systems. Furthermore, the book deals with applications in on-line and off-line handwriting recognition, remotely sensed image interpretation, fingerprint identification, and automatic text categorization.
Bibliography:Includes bibriographical references
ISBN:9789810248321
9810248326
9812778144
9789812778147
DOI:10.1142/4871