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Ma, Yide; Zhan, Kun; Wang, Zhaobin - Applications of Pulse-coupled Neural Networks - 9783642137440 - V9783642137440
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Applications of Pulse-coupled Neural Networks

€ 127.88
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Description for Applications of Pulse-coupled Neural Networks Hardback. This book explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields. Num Pages: 199 pages, biography. BIC Classification: TJF; UYQP. Category: (P) Professional & Vocational. Dimension: 236 x 161 x 18. Weight in Grams: 486.
"Applications of Pulse-Coupled Neural Networks" explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields. This book is intended for researchers and graduate students in artificial intelligence, pattern recognition, electronic engineering, and computer science. Prof. Yide Ma conducts research on intelligent information processing, biomedical image processing, and embedded system development at the School of Information Science and Engineering, Lanzhou University, China.

Product Details

Format
Hardback
Publication date
2010
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
199
Condition
New
Number of Pages
199
Place of Publication
Berlin, Germany
ISBN
9783642137440
SKU
V9783642137440
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Applications of Pulse-coupled Neural Networks
From the reviews: “Pulse-coupled neural networks (PCNNs) are based on the nervous system in the eyes of humans and mammals. The book describes various models of PCNNs, and related image processing algorithms. … This book could serve as a textbook on PCNNs. … Each algorithm features not only the flow of the algorithm, but also a detailed empirical analysis. ... Read more

Goodreads reviews for Applications of Pulse-coupled Neural Networks


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