Hybrid methods in pattern recognition / editors, H. Bunke, A. Kandel.

Format:

Book

Contributor:

Bunke, Horst.

Kandel, Abraham.

Series:

Series in machine perception and artificial intelligence ; v. 47.

Series in machine perception and artificial intelligence ; v. 47

Language:

English

Subjects (All):

Pattern recognition systems.

Neural networks (Computer science).

Physical Description:

1 online resource (338 p.)

Edition:

1st ed.

Place of Publication:

River Edge, N.J. : World Scientific, c2002.

Language Note:

English

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. <i>Hybrid Methods in Pattern Recognition</i> 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 symbo

Contents:

Contents ; Preface ; Neuro-Fuzzy Systems ; Chapter 1 Fuzzification of Neural Networks for Classification Problems ; Neural Networks for Structural Pattern Recognition ; Chapter 2 Adaptive Graphic Pattern Recognition: Foundations and Perspectives

Chapter 3 Adaptive Self-Organizing Map in the Graph Domain Clustering for Hybrid Systems ; Chapter 4 From Numbers to Information Granules: A Study in Unsupervised Learning and Feature Analysis ; Combining Neural Networks and Hidden Markov Models

Chapter 5 Combination of Hidden Markov Models and Neural Networks for Hybrid Statistical Pattern Recognition Chapter 6 From Character to Sentences: A Hybrid Neuro-Markovian System for On-Line Handwriting Recognition ; Multiple Classifier Systems

Chapter 7 Multiple Classifier Combination: Lessons and Next Steps Chapter 8 Design of Multiple Classifier Systems ; Chapter 9 Fusing Neural Networks Through Fuzzy Integration ; Applications of Hybrid Systems ; Chapter 10 Hybrid Data Mining Methods in Image Processing

Chapter 11 Robust Fingerprint Identification Based on Hybrid Pattern Recognition Methods Chapter 12 Text Categorization Using Learned Document Features

Notes:

Description based upon print version of record.

Includes bibliographical references.

ISBN:

9789812778147

9812778144

OCLC:

879074230