← Research collaborations

External contributor

Angshul Majumdar

Professor (ECE, CSE)

Indraprastha Institute of Information Technology Delhi (IIIT-Delhi) ↗ · India

Original profile ↗Shared work (10) ↓

About

Angshul Majumdar researches sparse signal recovery, low-rank matrix methods and their use in medical imaging. His work also spans signal processing, machine learning, energy analytics and bioinformatics.

Research interests

  • Sparse recovery
  • Low-rank matrix completion
  • Medical imaging
  • Signal processing

Shared work with the lab

These are the linked records in the NPerseus catalogue, rather than a complete bibliography.

Publications (10)

  1. Journal article · 2024

    Contrastive deep convolutional transform k-means clustering

    Anurag Goel & Angshul Majumdar · Information Sciences, vol. 661, article 120191

    Catalogue record →Original record ↗

  2. Journal article · 2024

    DeConFCluster: Deep Convolutional Transform Learning based multiview clustering fusion framework

    Pooja Gupta, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux & Giovanni Chierchia · Signal Processing, vol. 224, article 109597

    Catalogue record →Original record ↗

  3. Conference paper · 2024

    Semi-Supervised Graphical Deep Dictionary Learning for Hyperspectral Image Classification From Limited Samples

    Anurag Goel & Angshul Majumdar · 2024 IEEE International Conference on Image Processing (ICIP), pp. 2108–2114

    Catalogue record →Original record ↗

  4. Journal article · 2024

    Sparse subspace clustering incorporated deep convolutional transform learning for hyperspectral band selection

    Anurag Goel & Angshul Majumdar · Earth Science Informatics, vol. 17(3), pp. 2727–2735

    Catalogue record →Original record ↗

  5. Journal article · 2023

    Marker-free characterization of full-length transcriptomes of single live circulating tumor cells

    Sarita Poonia, Anurag Goel, Smriti Chawla, Namrata Bhattacharya, Priyadarshini Rai, Yi Fang Lee, Yoon Sim Yap, Jay West, Ali Asgar Bhagat, Juhi Tayal, Anurag Mehta, Gaurav Ahuja, Angshul Majumdar, Naveen Ramalingam, Debarka Sengupta · Genome Research, vol. 33(1), pp. 80–95

    Catalogue record →Original record ↗

  6. Conference paper · 2022

    Deep Convolutional K-Means Clustering

    Anurag Goel, Angshul Majumdar, Emilie Chouzenoux & Giovanni Chierchia · 2022 IEEE International Conference on Image Processing (ICIP), pp. 211–215

    Catalogue record →Original record ↗

  7. Journal article · 2022

    K-Means Embedded Deep Transform Learning for Hyperspectral Band Selection

    Anurag Goel & Angshul Majumdar · IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1–5

    Catalogue record →Original record ↗

  8. Journal article · 2022

    Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification

    Anurag Goel & Angshul Majumdar · IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1–5

    Catalogue record →Original record ↗

  9. Book chapter · 2021

    Clustering Friendly Dictionary Learning

    Anurag Goel, Angshul Majumdar · Lecture Notes in Computer Science, pp. 549–557

    Catalogue record →Original record ↗

  10. Conference paper · 2021

    Transformed K-means Clustering

    Anurag Goel & Angshul Majumdar · 2021 29th European Signal Processing Conference (EUSIPCO), pp. 1526–1530

    Catalogue record →Original record ↗