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Pattern Recognition and Machine Intelligence

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

  • Conference proceedings
  • © 2017

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Editors:
  1. B. Uma Shankar

    1. Indian Statistical Institute, Kolkata, India

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  2. Kuntal Ghosh

    1. Indian Statistical Institute, Kolkata, India

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  3. Deba Prasad Mandal

    1. Indian Statistical Institute, Kolkata, India

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  4. Shubhra Sankar Ray

    1. Indian Statistical Institute, Kolkata, India

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  5. David Zhang

    1. The Hong Kong Polytechnic University, Hong Kong, China

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  6. Sankar K. Pal

    1. Indian Statistical Institute, Kolkata, India

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

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

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Conference proceedings info: PReMI 2017.

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Table of contents (87 papers)

  1. Front Matter

    Pages I-XXVIII
    Download chapter PDF

  2. Invited Talks

    1. Front Matter

      Pages 1-1
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    2. An Incremental Fast Policy Search Using a Single Sample Path

      • Ajin George Joseph, Shalabh Bhatnagar
      Pages 3-10

    3. Biometric Counter-Spoofing for Mobile Devices Using Gaze Information

      • Asad Ali, Nawal Alsufyani, Sanaul Hoque, Farzin Deravi
      Pages 11-18

  3. Pattern Recognition and Machine Learning

    1. Front Matter

      Pages 19-19
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    2. kNN Classification with an Outlier Informative Distance Measure

      • Gautam Bhattacharya, Koushik Ghosh, Ananda S. Chowdhury
      Pages 21-27

    3. Tree-Based Structural Twin Support Tensor Clustering with Square Loss Function

      • Reshma Rastogi, Sweta Sharma
      Pages 28-34

    4. Kernel Entropy Discriminant Analysis for Dimension Reduction

      • Aditya Mehta, C. Chandra Sekhar
      Pages 35-42

    5. A New Method to Address Singularity Problem in Multimodal Data Analysis

      • Ankita Mandal, Pradipta Maji
      Pages 43-51

    6. Label Correlation Propagation for Semi-supervised Multi-label Learning

      • Aritra Ghosh, C. Chandra Sekhar
      Pages 52-60

    7. Formulation of Two Stage Multiple Kernel Learning Using Regression Framework

      • S. S. Shiju, Asif Salim, S. Sumitra
      Pages 61-68

    8. A Two-Stage Conditional Random Field Model Based Framework for Multi-Label Classification

      • Abhiram Kumar Singh, C. Chandra Sekhar
      Pages 69-76

    9. A Matrix Factorization & Clustering Based Approach for Transfer Learning

      • V. Sowmini Devi, Vineet Padmanabhan, Arun K. Pujari
      Pages 77-83

  4. Signal and Image Processing

    1. Front Matter

      Pages 85-85
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    2. Feature Selection and Fuzzy Rule Mining for Epileptic Patients from Clinical EEG Data

      • Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, Rajat K. De
      Pages 87-95

    3. Selection of Relevant Electrodes Based on Temporal Similarity for Classification of Motor Imagery Tasks

      • Jyoti Singh Kirar, Ayesha Choudhary, R. K. Agrawal
      Pages 96-102

    4. Automated Measurement of Translational Margins and Rotational Shifts in Pelvic Structures Using CBCT Images of Rectal Cancer Patients

      • Sai Phani Kumar Malladi, Bijju Kranthi Veduruparthi, Jayanta Mukherjee, Partha Pratim Das, Saswat Chakrabarti, Indranil Mallick
      Pages 103-109

    5. Exploring the Scope of HSV Color Channels Towards Simple Shadow Contour Detection

      • Jayeeta Saha, Arpitam Chatterjee
      Pages 110-115

    6. Linear Curve Fitting-Based Headline Estimation in Handwritten Words for Indian Scripts

      • Rahul Pramanik, Soumen Bag
      Pages 116-123

    7. Object Segmentation in Texture Images Using Texture Gradient Based Active Contours

      • Priyambada Subudhi, Susanta Mukhopadhyay
      Pages 124-131
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About this book



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.

Editors and Affiliations

  • Indian Statistical Institute, Kolkata, India

    B. Uma Shankar, Kuntal Ghosh, Deba Prasad Mandal, Shubhra Sankar Ray, Sankar K. Pal

  • The Hong Kong Polytechnic University, Hong Kong, China

    David Zhang

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