Pattern Recognition and Machine Intelligence - 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings (Paperback, 1st ed. 2017)


This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017. The total of 86 full papers presented in this volume were carefully reviewed and selected from 293 submissions. They were organized in topical sections named: pattern recognition and machine learning; signal and image processing; computer vision and video processing; soft and natural computing; speech and natural language processing; bioinformatics and computational biology; data mining and big data analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence.

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Product Description

This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017. The total of 86 full papers presented in this volume were carefully reviewed and selected from 293 submissions. They were organized in topical sections named: pattern recognition and machine learning; signal and image processing; computer vision and video processing; soft and natural computing; speech and natural language processing; bioinformatics and computational biology; data mining and big data analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Lecture Notes in Computer Science, 10597

Release date

November 2017

Availability

Expected to ship within 10 - 15 working days

First published

2017

Editors

, , , , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

695

Edition

1st ed. 2017

ISBN-13

978-3-319-69899-1

Barcode

9783319698991

Categories

LSN

3-319-69899-0



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