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...
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2015
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oai:scholar.dlu.edu.vn:DLU123456789-584642023-11-11T06:01:56Z Type-2 Fuzzy Graphical Models for Pattern Recognition Zeng, Jia Liu, Zhi-Qiang Fuzzy graphs Mathematical models Pattern recognition systems 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. 2015-09-24T01:30:03Z 2015-09-24T01:30:03Z 2015 Book 978-3-662-44690-4 978-3-662-44689-8 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58464 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Fuzzy graphs Mathematical models Pattern recognition systems |
| spellingShingle |
Fuzzy graphs Mathematical models Pattern recognition systems Zeng, Jia Liu, Zhi-Qiang Type-2 Fuzzy Graphical Models for Pattern Recognition |
| 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. |
| format |
Book |
| author |
Zeng, Jia Liu, Zhi-Qiang |
| author_facet |
Zeng, Jia Liu, Zhi-Qiang |
| author_sort |
Zeng, Jia |
| title |
Type-2 Fuzzy Graphical Models for Pattern Recognition |
| title_short |
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_sort |
type-2 fuzzy graphical models for pattern recognition |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58464 |
| _version_ |
1782539771618263040 |