Intelligence Science and Big Data Engineering [electronic resource] : 7th International Conference, IScIDE 2017, Dalian, China, September 22-23, 2017, Proceedings /

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Material type: Text

TextSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10559Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: XVI, 689 p. 234 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319677774

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.37 23

LOC classification:

TA1634

Online resources:

Click here to access online

Contents:

Statistics and learning -- Deep neural networks -- Faces and people -- Objects -- Classification and clustering -- Imaging -- Biomedical signal processing -- Recommendation.

In: Springer Nature eBookSummary: 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.

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Statistics and learning -- Deep neural networks -- Faces and people -- Objects -- Classification and clustering -- Imaging -- Biomedical signal processing -- Recommendation.

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.

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