Pattern Recognition and Machine Intelligence

7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings

  • B. Uma Shankar
  • Kuntal Ghosh
  • Deba Prasad Mandal
  • Shubhra Sankar Ray
  • David Zhang
  • Sankar K. Pal
Conference proceedings PReMI 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10597)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10597)

Table of contents

  1. Front Matter
    Pages I-XXVIII
  2. Invited Talks

    1. Front Matter
      Pages 1-1
    2. Ajin George Joseph, Shalabh Bhatnagar
      Pages 3-10
    3. Asad Ali, Nawal Alsufyani, Sanaul Hoque, Farzin Deravi
      Pages 11-18
  3. Pattern Recognition and Machine Learning

    1. Front Matter
      Pages 19-19
    2. Gautam Bhattacharya, Koushik Ghosh, Ananda S. Chowdhury
      Pages 21-27
    3. Aditya Mehta, C. Chandra Sekhar
      Pages 35-42
    4. V. Sowmini Devi, Vineet Padmanabhan, Arun K. Pujari
      Pages 77-83
  4. Signal and Image Processing

    1. Front Matter
      Pages 85-85
    2. Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, Rajat K. De
      Pages 87-95
    3. Sai Phani Kumar Malladi, Bijju Kranthi Veduruparthi, Jayanta Mukherjee, Partha Pratim Das, Saswat Chakrabarti, Indranil Mallick
      Pages 103-109
    4. Priyambada Subudhi, Susanta Mukhopadhyay
      Pages 124-131

About these proceedings

Introduction


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.

Keywords

Machine learning algorithms Supervised learning Unsupervised learning Neural networks Natural language processing Computer vision problems Data Mining Data analytics Bioinformatics Speech recognition Biometrics Computational biology Mathematics and Statistics Artificial Intelligence image processing machine learning Support Vector Machines (SVM) signal processing image segmentation classifiers

Editors and affiliations

  1. 1.Indian Statistical InstituteKolkataIndia
  2. 2.Indian Statistical InstituteKolkataIndia
  3. 3.Indian Statistical InstituteKolkataIndia
  4. 4.Indian Statistical InstituteKolkataIndia
  5. 5.The Hong Kong Polytechnic UniversityHong KongChina
  6. 6.Indian Statistical InstituteKolkataIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-69900-4
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-69899-1
  • Online ISBN 978-3-319-69900-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book