SpringerBriefs in Optimization

Search Techniques in Intelligent Classification Systems

Authors: Savchenko, Andrey V.

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  • Unifies theory and practice: from statistically optimal criteria to applications in image and speech recognition
  • Describes methodology of segment homogeneity testing to uniformly solve classification problems
  • Contains practical aspects of modern soft computing techniques to implement fast and accurate search in intelligent systems
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eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-319-30515-8
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Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-30513-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

A unified methodology for categorizing various complex objects is presented in this book. Through probability theory, novel asymptotically minimax criteria suitable for practical applications in imaging and data analysis are examined including the special cases such as the Jensen-Shannon divergence and the probabilistic neural network. An optimal approximate nearest neighbor search algorithm, which allows faster classification of databases is featured. Rough set theory, sequential analysis and granular computing are used to improve performance of the hierarchical classifiers. Practical examples in face identification (including deep neural networks), isolated commands recognition in voice control system and classification of visemes captured by the Kinect depth camera are included. This approach creates fast and accurate search procedures by using exact probability densities of applied dissimilarity measures.

This book can be used as a guide for independent study and as supplementary material for a technically oriented graduate course in intelligent systems and data mining. Students and researchers interested in the theoretical and practical aspects of intelligent classification systems will find answers to:

- Why conventional implementation of the naive Bayesian approach does not work well in image classification?

- How to deal with insufficient performance of hierarchical classification systems?

- Is it possible to prevent an exhaustive search of the nearest neighbor in a database?

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-319-30515-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-30513-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Search Techniques in Intelligent Classification Systems
Authors
Series Title
SpringerBriefs in Optimization
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-30515-8
DOI
10.1007/978-3-319-30515-8
Softcover ISBN
978-3-319-30513-4
Series ISSN
2190-8354
Edition Number
1
Number of Pages
XIII, 82
Number of Illustrations
9 b/w illustrations, 19 illustrations in colour
Topics