Pattern Recognition and Machine Intelligence : 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings /

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 or...

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Bibliographic Details
Corporate Authors: SpringerLink (Online service)
Group Author: Shankar, B, Uma (Editor); Ghosh, Kuntal (Editor); Mandal, Deba Prasad (Editor); Ray, Shubhra Sankar (Editor); Zhang, David. (Editor); Pal, Sankar K. (Editor)
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Lecture Notes in Computer Science, 10597
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-319-69900-4
Summary: 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.
Carrier Form: 1 online resource (XXVIII, 695 pages): illustrations.
ISBN: 9783319699004
Index Number: TK7874
CLC: TP3-53
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.