Pattern Recognition and Machine Intelligence: 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings
Author:   B. Uma Shankar ,  Kuntal Ghosh ,  Deba Prasad Mandal ,  Shubhra Sankar Ray
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   10597
ISBN:  

9783319698991


Pages:   695
Publication Date:   01 November 2017
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Pattern Recognition and Machine Intelligence: 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings


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Overview

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.

Full Product Details

Author:   B. Uma Shankar ,  Kuntal Ghosh ,  Deba Prasad Mandal ,  Shubhra Sankar Ray
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   10597
Weight:   1.092kg
ISBN:  

9783319698991


ISBN 10:   3319698990
Pages:   695
Publication Date:   01 November 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.- Applications of pattern recognition and machine intelligence.

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