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Intelligence Science and Big Data Engineering - 7th International Conference, IScIDE 2017, Dalian, China, September 22-23, 2017, Proceedings (Paperback, 1st ed. 2017) Loot Price: R1,687
Discovery Miles 16 870
Intelligence Science and Big Data Engineering - 7th International Conference, IScIDE 2017, Dalian, China, September 22-23,...

Intelligence Science and Big Data Engineering - 7th International Conference, IScIDE 2017, Dalian, China, September 22-23, 2017, Proceedings (Paperback, 1st ed. 2017)

Yi Sun, Huchuan Lu, Li-He Zhang, Jian Yang, Hua Huang

Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 10559

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Loot Price R1,687 Discovery Miles 16 870 | Repayment Terms: R158 pm x 12*

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This book constitutes the proceedings of the 7th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2017, held in Dalian, China, in September 2017.The 48 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 121 submissions. They deal with statistics and learning; deep neural networks; faces and people; objects; classification and clustering; imaging; biomedical signal processing; and recommendation.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 10559
Release date: September 2017
First published: 2017
Editors: Yi Sun • Huchuan Lu • Li-He Zhang • Jian Yang • Hua Huang
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 689
Edition: 1st ed. 2017
ISBN-13: 978-3-319-67776-7
Categories: Books > Computing & IT > Computer programming > General
Books > Computing & IT > Computer software packages > Multimedia
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Computing & IT > Applications of computing > Image processing > General
LSN: 3-319-67776-4
Barcode: 9783319677767

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