Zobrazeno 1 - 10
of 352
pro vyhledávání: '"Mayank Vatsa"'
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
Chest Radiograph or Chest X-ray (CXR) is a common, fast, non-invasive, relatively cheap radiological examination method in medical sciences. CXRs can aid in diagnosing many lung ailments such as Pneumonia, Tuberculosis, Pneumoconiosis, COVID-19, and
Externí odkaz:
https://doaj.org/article/f26cb3e693ec4148ba758af43cc0d5d5
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
A significant challenge for hospitals and medical practitioners in low- and middle-income nations is the lack of sufficient health care facilities for timely medical diagnosis of chronic and deadly diseases. Particularly, maternal and neonatal morbid
Externí odkaz:
https://doaj.org/article/4ee8679a36224f68ae0d8564b2ded59b
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
Presentation attack detection (PAD) algorithms have become an integral requirement for the secure usage of face recognition systems. As face recognition algorithms and applications increase from constrained to unconstrained environments and in multis
Externí odkaz:
https://doaj.org/article/fdbc6611255a4c20b9c8d1fc8c3137c6
Autor:
Surbhi Mittal, Vasantha Kumar Venugopal, Vikash Kumar Agarwal, Manu Malhotra, Jagneet Singh Chatha, Savinay Kapur, Ankur Gupta, Vikas Batra, Puspita Majumdar, Aakarsh Malhotra, Kartik Thakral, Saheb Chhabra, Mayank Vatsa, Richa Singh, Santanu Chaudhury
Publikováno v:
PLoS ONE, Vol 17, Iss 10 (2022)
Consistent clinical observations of characteristic findings of COVID-19 pneumonia on chest X-rays have attracted the research community to strive to provide a fast and reliable method for screening suspected patients. Several machine learning algorit
Externí odkaz:
https://doaj.org/article/37b438f0c41e4c35a941f23316cb78fd
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Presentation attacks on face recognition systems are classified into two categories: physical and digital. While much research has focused on physical attacks such as photo, replay, and mask attacks, digital attacks such as morphing have received lim
Externí odkaz:
https://doaj.org/article/5db6f610cb234b0fa47aec58cbdc018c
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Cross-view or heterogeneous face matching involves comparing two different views of the face modality such as two different spectrums or resolutions. In this research, we present two heterogeneity-aware subspace techniques, heterogeneous discriminant
Externí odkaz:
https://doaj.org/article/0aed26c6a9d547c88a3d43fc722fd06a
Publikováno v:
Frontiers in Big Data, Vol 3 (2021)
Modern deep learning systems have achieved unparalleled success and several applications have significantly benefited due to these technological advancements. However, these systems have also shown vulnerabilities with strong implications on the fair
Externí odkaz:
https://doaj.org/article/abde7500d7164ad489df768f59241ea2
Publikováno v:
IEEE Access, Vol 4, Pp 10096-10109 (2016)
Two popular representation learning paradigms are dictionary learning and deep learning. While dictionary learning focuses on learning “basis” and “features” by matrix factorization, deep learning focuses on extracting features via learning
Externí odkaz:
https://doaj.org/article/c9a867b7603a4d1583fd9c31a49983c3
Publikováno v:
IEEE Access, Vol 3, Pp 653-665 (2015)
Large-scale fingerprint recognition involves capturing ridge patterns at different time intervals using various methods, such as live-scan and paper-ink approaches, introducing intraclass variations in the fingerprint. The performance of existing alg
Externí odkaz:
https://doaj.org/article/bb8ecfb9429448cc931a0b37ee9ab9d3
Publikováno v:
IEEE Access, Vol 3, Pp 3010-3018 (2015)
Body weight variations are an integral part of a person's aging process. However, the lack of association between the age and the weight of an individual makes it challenging to model these variations for automatic face recognition. In this paper, we
Externí odkaz:
https://doaj.org/article/a3ece6eb22ad44afb241aba2a737bab0