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Produktbild: Pattern Recognition and Machine Intelligence
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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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Beschreibung

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...

Beschreibung


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.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.11.2017

Abbildungen

XXVIII, 695 p. 238 illus.

Herausgeber B. Uma Shankar + weitere

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.11.2017

Abbildungen

XXVIII, 695 p. 238 illus.

Herausgeber
Verlag Springer
Seitenzahl

695

Maße (L/B/H)

23,5/15,5/3,9 cm

Gewicht

1077 g

Auflage

1st ed. 2017

Sprache

Englisch

ISBN

978-3-319-69899-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Pattern Recognition and Machine Intelligence
  • 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.