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Type-2 Fuzzy Graphical Models for Pattern Recognition

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Beschreibung

This book discusses how to combine type-2 fuzzy sets and graphical models to solve a range of real-world pattern recognition problems such as speech recognition, handwritten Chinese character recognition, topic modeling as well as human action recognition. It covers these recent developments while also...

Beschreibung

This book discusses how to combine type-2 fuzzy sets and graphical models to solve a range of real-world pattern recognition problems such as speech recognition, handwritten Chinese character recognition, topic modeling as well as human action recognition. It covers these recent developments while also providing a comprehensive introduction to the fields of type-2 fuzzy sets and graphical models. Though primarily intended for graduate students, researchers and practitioners in fuzzy logic and pattern recognition, the book can also serve as a valuable reference work for researchers without any previous knowledge of these fields. Dr. Jia Zeng is a Professor at the School of Computer Science and Technology, Soochow University, China. Dr. Zhi-Qiang Liu is a Professor at the School of Creative Media, City University of Hong Kong, China.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.09.2016

Abbildungen

XIII, 201 p. 112 illus.

Verlag Springer Berlin

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.09.2016

Abbildungen

XIII, 201 p. 112 illus.

Verlag Springer Berlin
Seitenzahl

201

Maße (L/B/H)

23,5/15,5/1,3 cm

Gewicht

341 g

Auflage

Softcover reprint of the original 1st edition 2015

Sprache

Englisch

ISBN

978-3-662-51522-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Type-2 Fuzzy Graphical Models for Pattern Recognition
  • Produktbild: Type-2 Fuzzy Graphical Models for Pattern Recognition
  • Introduction.- Probabilistic Graphical Models.- Type-2 Fuzzy Sets for Pattern Recognition.- Type-2 Fuzzy Gaussian Mixture Models.- Type-2 Fuzzy Hidden Moarkov Models.- Type-2 Fuzzy Markov Random Fields.- Type-2 Fuzzy Topic Models.- Conclusions and FutureWork.