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Type-2 fuzzy graphical models for pattern recognition
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 a...
Autores principales: | , |
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Lenguaje: | eng |
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Springer
2015
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-662-44690-4 http://cds.cern.ch/record/1968732 |
_version_ | 1780944678601883648 |
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author | Zeng, Jia Liu, Zhi-Qiang |
author_facet | Zeng, Jia Liu, Zhi-Qiang |
author_sort | Zeng, Jia |
collection | CERN |
description | 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. |
id | cern-1968732 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
publisher | Springer |
record_format | invenio |
spelling | cern-19687322021-04-21T20:49:59Zdoi:10.1007/978-3-662-44690-4http://cds.cern.ch/record/1968732engZeng, JiaLiu, Zhi-QiangType-2 fuzzy graphical models for pattern recognitionEngineeringThis 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.Springeroai:cds.cern.ch:19687322015 |
spellingShingle | Engineering Zeng, Jia Liu, Zhi-Qiang Type-2 fuzzy graphical models for pattern recognition |
title | Type-2 fuzzy graphical models for pattern recognition |
title_full | Type-2 fuzzy graphical models for pattern recognition |
title_fullStr | Type-2 fuzzy graphical models for pattern recognition |
title_full_unstemmed | Type-2 fuzzy graphical models for pattern recognition |
title_short | Type-2 fuzzy graphical models for pattern recognition |
title_sort | type-2 fuzzy graphical models for pattern recognition |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-662-44690-4 http://cds.cern.ch/record/1968732 |
work_keys_str_mv | AT zengjia type2fuzzygraphicalmodelsforpatternrecognition AT liuzhiqiang type2fuzzygraphicalmodelsforpatternrecognition |