Type-2 fuzzy graphical models for pa...
Liu, Zhi-Qiang.

 

  • Type-2 fuzzy graphical models for pattern recognition[electronic resource] /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 006.4
    書名/作者: Type-2 fuzzy graphical models for pattern recognition/ by Jia Zeng, Zhi-Qiang Liu.
    作者: Zeng, Jia.
    其他作者: Liu, Zhi-Qiang.
    出版者: Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2015.
    面頁冊數: xiii, 201 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Pattern recognition systems.
    標題: Pattern recognition systems - Mathematical models.
    標題: Fuzzy graphs.
    標題: Engineering.
    標題: Computational Intelligence.
    標題: Artificial Intelligence (incl. Robotics)
    標題: Pattern Recognition.
    標題: Signal, Image and Speech Processing.
    ISBN: 9783662446904 (electronic bk.)
    ISBN: 9783662446898 (paper)
    內容註: 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.
    摘要、提要註: 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.
    電子資源: http://dx.doi.org/10.1007/978-3-662-44690-4
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