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Pattern Recognition and Machine Intelligence

10th International Conference, PReMI 2023, Kolkata, India, December 12–15, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Pradipta Maji

    1. Indian Statistical Institute, Kolkata, India

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  2. Tingwen Huang

    1. Texas A&M University at Qatar, Doha, Qatar

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  3. Nikhil R. Pal

    1. Indian Statistical Institute, Kolkata, India

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  4. Santanu Chaudhury

    1. Indian Institute of Technology Jodhpur, Jodhpur, India

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  5. Rajat K. De

    1. Indian Statistical Institute, Kolkata, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14301)

Included in the following conference series:

Conference proceedings info: PReMI 2023.

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Table of contents (91 papers)

  1. Front Matter

    Pages i-xlvi
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  2. Pattern Recognition

    1. Front Matter

      Pages 1-1
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    2. An Efficient Approach for Findings Document Similarity Using Optimized Word Mover’s Distance

      • Atanu Dey, Mamata Jenamani, Arijit De
      Pages 3-11

    3. Aggregate Load Forecasting in Residential Smart Grids Using Deep Learning Model

      • Kakuli Mishra, Srinka Basu, Ujjwal Maulik
      Pages 12-19

    4. Spot the Bot: Distinguishing Human-Written and Bot-Generated Texts Using Clustering and Information Theory Techniques

      • Vasilii Gromov, Quynh Nhu Dang
      Pages 20-27

    5. Conditioning Covert Geo-Location (CGL) Detection on Semantic Class Information

      • Binoy Saha, Sukhendu Das
      Pages 28-37

    6. Search-Time Efficient Device Constraints-Aware Neural Architecture Search

      • Oshin Dutta, Tanu Kanvar, Sumeet Agarwal
      Pages 38-48

    7. Gödel Number Based Encoding Technique for Effective Clustering

      • Pankajbhai Narodia Parth, Kamalika Bhattacharjee
      Pages 49-58

  3. Machine Learning

    1. Front Matter

      Pages 59-59
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    2. Unsupervised Discovery of Recurring Spoken Terms Using Diagonal Patterns

      • P. Sudhakar, K. Sreenivasa Rao, Pabitra Mitra
      Pages 61-69

    3. MuOE: A Multi-task Ordinality Aware Approach Towards Engagement Detection

      • Saumya Gandhi, Aayush Fadia, Ritik Agrawal, Surbhi Agrawal, Praveen Kumar
      Pages 70-79

    4. Handling Small Disjuncts and Class Skew Using Sequential Ellipsoidal Partitioning

      • Ranjani Niranjan, Sachit Rao
      Pages 80-88

    5. Error-Bounded Bimodal Isotropic Remeshing Using Curvature Map and Voronoi Tessellation

      • Preetam Chayan Chatterjee, Partha Bhowmick
      Pages 89-97

    6. Multi-criteria Decision-Making Based Classifier Ensemble by Using Prioritized Aggregation Operator

      • Chandrima Debnath, Debashree Guha, Swati Rani Hait, Soumita Guria, Debjani Chakraborty
      Pages 98-105

    7. Federated Optimization with Linear-Time Approximated Hessian Diagonal

      • Mrinmay Sen, C. Krishna Mohan, A. Kai Qin
      Pages 106-113

  4. Deep Learning

    1. Front Matter

      Pages 115-115
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    2. Oscillatory Network and Deep Value Network Based Memory Replay Model of Hippocampus

      • Tamizharasan Kanagamani, Madhuvanthi Muliya, V. Srinivasa Chakravarthy, Balaraman Ravindran, Ramshekhar N. Menon
      Pages 117-127

    3. Statistically Matched DWT Based Novel DNN Framework for Visual SLAM

      • Anvaya Rai, Brejesh Lall, Astha Zalani, Raghwender Prakash, Shikha Srivastava
      Pages 128-136

    4. Compression of Large LSTM Networks for Inference on Space Constraint Systems

      • Suyash Saxena, Varun Singh Negi, Kolin Paul
      Pages 137-146

    5. Deep Adaptive Pix-2-Pix Conditional Generative Adversarial Networks for Semantic Segmentation of Medium Resolution Google Earth Imagery

      • Bhuvanagiri V. Hari Priya, B. Sirisha
      Pages 147-156
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Keywords

About this book

The LNCS volume constitutes the refereed proceedings of 10th International Conference, PReMI 2023, in Kolkata, India, in December 2023.

The 91 full papers, presented together with abstracts of 6 keynote and invited talks, were carefully reviewed and selected from more than 300 submissions. The conference presents topics covering different aspects of pattern recognition and machine intelligence with real life state-of-the-art applications.

Editors and Affiliations

  • Indian Statistical Institute, Kolkata, India

    Pradipta Maji, Nikhil R. Pal, Rajat K. De

  • Texas A&M University at Qatar, Doha, Qatar

    Tingwen Huang

  • Indian Institute of Technology Jodhpur, Jodhpur, India

    Santanu Chaudhury

Bibliographic Information

  • Book Title: Pattern Recognition and Machine Intelligence

  • Book Subtitle: 10th International Conference, PReMI 2023, Kolkata, India, December 12–15, 2023, Proceedings

  • Editors: Pradipta Maji, Tingwen Huang, Nikhil R. Pal, Santanu Chaudhury, Rajat K. De

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-45170-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-45169-0Published: 15 November 2023

  • eBook ISBN: 978-3-031-45170-6Published: 14 November 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XLVI, 882

  • Number of Illustrations: 28 b/w illustrations, 285 illustrations in colour

  • Topics: Pattern Recognition, Image Processing and Computer Vision

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