Hybrid Methods In Pattern Recognition

Author:   Horst Bunke (-) ,  Abraham Kandel (Univ Of South Florida, Usa)
Publisher:   World Scientific Publishing Co Pte Ltd
Volume:   47
ISBN:  

9789810248321


Pages:   336
Publication Date:   22 May 2002
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Hybrid Methods In Pattern Recognition


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Author:   Horst Bunke (-) ,  Abraham Kandel (Univ Of South Florida, Usa)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Volume:   47
Dimensions:   Width: 15.60cm , Height: 2.40cm , Length: 23.40cm
Weight:   0.608kg
ISBN:  

9789810248321


ISBN 10:   9810248326
Pages:   336
Publication Date:   22 May 2002
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Neuro-fuzzy systems: fuzzification of neural networks for classification problems, H. Ishibuchi and M. Nii; neural networks for structural pattern recognition - adaptive graphic pattern recognition -foundations and perspectives, G. Adorni et al; adaptive self-organizing map in the graph domain, S. Gunter and H. Bunke. Clustering for hybrid systems: from numbers to information granules - a study in unsupervised learning and feature analysis, A. Bargiela and W. Pedrycz. Combining neural networks and hidden Markov models: combination of hidden Markov models and neural networks for hybrid statistical pattern recognition, G. Rigoll; from character to sentences - a hybrid neuro-Markovian system for on-line handwriting recognition, T. Artieres et al. Multiple classifier systems: multiple classifier combination - lessons and next steps, T.K. Ho; design of multiple classifier systems, F. Roli and G. Giacinto; fusing neural networks through fuzzy integration, A. Verikas et al. Applications of hybrid systems: hybrid data mining methods in image processing, A. Klose and R. Kruse; robust fingerprint identification based on hybrid pattern recognition methods, D.-W. Jung and R.-H. Park; text categorization using learned document features, M. Junker et al.

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