Zeng, Jia. <br/><br/>
Type-2 Fuzzy Graphical Models for Pattern Recognition  [electronic resource] / 
by Jia Zeng, Zhi-Qiang Liu. 
 - XIII, 201 p. 112 illus.  online resource. 
 - Studies in Computational Intelligence,  591  1860-949X ; .
 - Studies in Computational Intelligence,  591 .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783662446904 
<br/><br/><label>Standard No.: </label>10.1007/978-3-662-44690-4  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering.<br/>Artificial intelligence.<br/>Pattern recognition.<br/>Computational intelligence.<br/>Engineering.<br/>Computational Intelligence.<br/>Artificial Intelligence (incl. Robotics).<br/>Pattern Recognition.<br/>Signal, Image and Speech Processing.
<br/><br/><label>LC Class. No.: </label>Q342 
<br/><br/><label>Dewey Class. No.: </label>006.3