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Pattern Recognition and Machine Intelligence: 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings 1st ed. 2017 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 695 pages, height x width: 235x155 mm, 238 Illustrations, black and white; XXVIII, 695 p. 238 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10597
  • Izdošanas datums: 01-Nov-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319698990
  • ISBN-13: 9783319698991
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Pattern Recognition and Machine Intelligence: 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings 1st ed. 2017Palielināt
  • Formāts: Paperback / softback, 695 pages, height x width: 235x155 mm, 238 Illustrations, black and white; XXVIII, 695 p. 238 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10597
  • Izdošanas datums: 01-Nov-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319698990
  • ISBN-13: 9783319698991
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319698991.html
Keywords:
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.


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.
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.