A low-resolution real-time face recognition using extreme learning machine and its variants-Reference-Cited by-同舟云学术

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A low-resolution real-time face recognition using extreme learning machine and its variants

Published:2023-02-28 Issue:5 Volume:71 Page:456-471
ISSN:1368-2199
Container-title:The Imaging Science Journal
language:en
Short-container-title:The Imaging Science Journal

Author:

Rajpal Ankit¹^ORCID,Sehra Khushwant²,Mishra Anurag³^ORCID,Chetty Girija⁴^ORCID

Affiliation:

1. Department of Computer Science, University of Delhi, Delhi, India

2. Department of Electronic Science, University of Delhi South Campus, Delhi, India

3. Department of Electronics, Deen Dayal Upadhyaya College, University of Delhi, Delhi, India

4. Faculty of Science and Technology, University of Canberra, Bruce, ACT, Australia

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/13682199.2023.2183544

Reference79 articles.

1. Incremental methods in face recognition: a survey

2. Classical and modern face recognition approaches: a complete review

3. Face Morphing Attack Generation and Detection: A Comprehensive Survey

4. Erkin Z, Franz M, Guajardo J, et al. Privacy-preserving face recognition. In: International Symposium on Privacy Enhancing Technologies Symposium. Springer; 2009. pp. 235–253.

5. Human-Centred Intelligent Human Computer Interaction (HCI²): how far are we from attaining it?

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1. Parallel ensemble of a randomization-based online sequential neural network for classification problems using a frequency criterion;Scientific Reports;2024-07-12

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