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Pattern Recognition and Machine Intelligence

9th International Conference, PReMI 2021, Kolkata, India, December 15–18, 2021, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Ashish Ghosh

    1. Indian Statistical Institute, Kolkata, India

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  2. Irwin King

    1. The Chinese University of Hong Kong, Sha Tin, Hong Kong

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  3. Malay Bhattacharyya

    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. 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 13102)

Included in the following conference series:

Conference proceedings info: PReMI 2021.

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About this book

This book constitutes the refereed proceedings of the 9th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2021, held in December 2021. Due to COVID-19 pandemic the conference was held virtually.

The 62 full papers included in this book were carefully reviewed and selected from 215 submissions. They were organized in topical sections as follows: image processing; text, voice and video processing; bioinformatics; deep learning; medical image processing; theory and models; feature selection; biometrics and dermoscopy; facial image analysis; object and event detection; pattern recognition; machine learning applications.

Keywords

Table of contents (62 papers)

  1. Front Matter

    Pages i-li
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  2. Image Processing

    1. Front Matter

      Pages 1-1
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    2. Image Quality Assessment Using Combination of Deep Convolutional Neural Networks

      • Gitam Shikkenawis, Suman K. Mitra, Ashutosh Saxena
      Pages 3-11

    3. Blind Image Forgery Detection Using LBP and Statistical Moments

      • Choudhary Shyam Prakash, Sahani Pooja Jaiprakash, Priyanka, Ishant Soni, Virang R. Patel
      Pages 12-21

    4. Edge Detection in Gray Scale Images Using Partial Sum of Second Order Taylor Series Expansion

      • B. H. Shekar, Sharada S. Bhat
      Pages 22-31

    5. Image Re-attentionizing Using Particle Swarm Optimization

      • Challa Venkatrao, Rajarshi Pal, Ashish Verma, Debashis Sen
      Pages 32-41

    6. Auto-Encoder Guided Attention Based Network for Hyperspectral Recovery from Real RGB Images

      • Ankit Shukla, Manoj Sharma, Swati Bhugra, Avinash Upadhyay, Navya Singh, Santanu Chaudhury et al.
      Pages 42-52

  3. Text, Voice and Video Processing

    1. Front Matter

      Pages 53-53
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    2. Raga Classification in Carnatic Music Using Audio Thumbnailing

      • Amulya Sri Pulijala, Aditya Bhattacharjee, Sakthi Balan Muthiah, Suryakanth V. Gangashetty
      Pages 55-62

    3. Wavelet Residual Learning for Efficient Future Frame Prediction from Natural Video Sequences

      • Sonam Gupta, Sukhendu Das
      Pages 63-71

    4. Voice Privacy Through Time-Scale and Pitch Modification

      • Gauri P. Prajapati, Dipesh K. Singh, Hemant A. Patil
      Pages 72-80

    5. Abusive Speech Detection and Politeness Transfer

      • K. Preetham, D. Arun Arumugham, M. Yogesh Kumar, B. Shameedha Begum
      Pages 81-90

    6. Voice Liveness Detection Using Bump Wavelet with CNN

      • Priyanka Gupta, Siddhant Gupta, Hemant A. Patil
      Pages 91-98

  4. Bioinformatics

    1. Front Matter

      Pages 99-99
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    2. Classification of Task Evoked fMRI Signals Using Temporal Characteristics of Brain Regions

      • Devesh Jalan, Priyank Lohariwal, Imran Alam, Aniruddha Sinha, Sanjoy Kumar Saha
      Pages 101-109

    3. Ensemble Models for Multi-class Classification of Diabetic Retinopathy

      • Subin Sahayam, Tutturu Lakshmi Manasa, Umarani Jayaraman
      Pages 110-117

    4. Identification of Potential Biomarkers Using Integrative Approach: An Application of ESCC

      • Manaswita Saikia, Dhruba K. Bhattacharyya, Jugal K. Kalita
      Pages 118-126

    5. Autoencoder Assisted Cancer Subtyping by Integrating Multi-omics Data

      • Madhumita, Sushmita Paul
      Pages 127-136

    6. ADHDNet: A DNN Based Framework for Efficient ADHD Detection from fMRI Dataset

      • Anjan Chowdhury, Rajdeep Chatterjee, Geetanjali Aich, Kuntal Ghosh
      Pages 137-147

  5. Deep Learning

    1. Front Matter

      Pages 149-149
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Other volumes

  1. Pattern Recognition and Machine Intelligence

Editors and Affiliations

  • Indian Statistical Institute, Kolkata, India

    Ashish Ghosh, Malay Bhattacharyya, Shubhra Sankar Ray, Sankar K. Pal

  • The Chinese University of Hong Kong, Sha Tin, Hong Kong

    Irwin King

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