书目名称 | Type-2 Fuzzy Graphical Models for Pattern Recognition |
编辑 | Jia Zeng,Zhi-Qiang Liu |
视频video | |
概述 | Focuses on type-2 fuzzy systems for pattern recognition problems.Describes recent advances of type-2 fuzzy systems for real-world pattern recognition problems, such as speech recognition, handwriting |
丛书名称 | Studies in Computational Intelligence |
图书封面 |  |
描述 | .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.. |
出版日期 | Book 2015 |
关键词 | Artificial Intelligence; Pattern Recognition; Probabilistic Graphical Models; Type-2 fuzzy Sets; type-2 |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-662-44690-4 |
isbn_softcover | 978-3-662-51522-8 |
isbn_ebook | 978-3-662-44690-4Series ISSN 1860-949X Series E-ISSN 1860-9503 |
issn_series | 1860-949X |
copyright | Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg 2015 |