It takes the average reader 3 hours and 21 minutes to read Type-2 Fuzzy Graphical Models for Pattern Recognition by Jia Zeng
Assuming a reading speed of 250 words per minute. Learn more
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.
Type-2 Fuzzy Graphical Models for Pattern Recognition by Jia Zeng is 201 pages long, and a total of 50,451 words.
This makes it 68% the length of the average book. It also has 62% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 35 minutes to read Type-2 Fuzzy Graphical Models for Pattern Recognition aloud.
Type-2 Fuzzy Graphical Models for Pattern Recognition is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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