Zobrazeno 1 - 10
of 206
pro vyhledávání: '"Prakash, Ishwar"'
Publikováno v:
Frontiers in Imaging, Vol 3 (2024)
Monitoring the number of people in various spaces of a building is important for optimizing space usage, assisting with public safety, and saving energy. Diverse approaches have been developed for different end goals, from ID card readers for space m
Externí odkaz:
https://doaj.org/article/934c950ec5e04019a79e8eb7f0250a29
Autor:
Shereena Shaji, Rahul Krishnan Pathinarupothi, Ramesh Guntha, Ravi Sankaran, Prakash Ishwar, K. A. Unnikrishna Menon, Maneesha Vinodini Ramesh
Publikováno v:
IEEE Access, Vol 12, Pp 81122-81136 (2024)
Tele-rehabilitation has garnered significant interest among clinicians and researchers with its potential to transform cardiac rehabilitation, affecting millions of patients annually. A critical requirement of tele-cardiac rehabilitation is a fail-sa
Externí odkaz:
https://doaj.org/article/1c6d97b4a641442fab92afed5463b126
Publikováno v:
IEEE Access, Vol 11, Pp 49226-49240 (2023)
This paper advances the theory and practice of Domain Generalization (DG) in machine learning. We consider the typical DG setting where the hypothesis is composed of a representation mapping followed by a labeling function. Within this setting, the m
Externí odkaz:
https://doaj.org/article/6b66016362f8439e863111ca450a6cde
Publikováno v:
IEEE Access, Vol 11, Pp 46095-46106 (2023)
Person re-identification (PRID) has been thoroughly researched in typical surveillance scenarios where various scenes are monitored by side-mounted, rectilinear-lens cameras. To date, few methods have been proposed for fisheye cameras mounted overhea
Externí odkaz:
https://doaj.org/article/5f7204a6488446aeb4facc77fc9cd7c9
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
BackgroundAlthough speech-language therapy (SLT) is proven to be beneficial to recovery of post-stroke aphasia, delivering sufficiently high amounts of dosage remains a problem in real-world clinical practice. Self-managed SLT was introduced to solve
Externí odkaz:
https://doaj.org/article/3b2d2b23db1e41b8a8fcbad835ed88e3
Publikováno v:
IEEE Access, Vol 9, Pp 53849-53860 (2021)
Background subtraction (BGS) is a fundamental video processing task which is a key component of many applications. Deep learning-based supervised algorithms achieve very good performance in BGS, however, most of these algorithms are optimized for eit
Externí odkaz:
https://doaj.org/article/e203c318bdc74a87a0c417903e11bd33
Autor:
Anne Billot, Sha Lai, Maria Varkanitsa, Emily J. Braun, Brenda Rapp, Todd B. Parrish, James Higgins, Ajay S. Kurani, David Caplan, Cynthia K. Thompson, Prakash Ishwar, Margrit Betke, Swathi Kiran
Publikováno v:
Stroke. 53(5)
Background: Poststroke recovery depends on multiple factors and varies greatly across individuals. Using machine learning models, this study investigated the independent and complementary prognostic role of different patient-related factors in predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf89aeda19c81361466573723ea5b7e6
https://pubmed.ncbi.nlm.nih.gov/35078348
https://pubmed.ncbi.nlm.nih.gov/35078348
Invariance-principle-based methods such as Invariant Risk Minimization (IRM), have recently emerged as promising approaches for Domain Generalization (DG). Despite promising theory, such approaches fail in common classification tasks due to the mixin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9c63fe83fc87c103f4bad18f752d046
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f1f74a525b20963264b24b9456e3d0e
https://doi.org/10.1109/wacv51458.2022.00145
https://doi.org/10.1109/wacv51458.2022.00145