Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Rajkumar Theagarajan"'
Autor:
Rajkumar Theagarajan, Bir Bhanu
Publikováno v:
PLoS ONE, Vol 14, Iss 3, p e0212849 (2019)
Human embryonic stem cells (hESC), derived from the blastocysts, provide unique cellular models for numerous potential applications. They have great promise in the treatment of diseases such as Parkinson's, Huntington's, diabetes mellitus, etc. hESC
Externí odkaz:
https://doaj.org/article/6ae5132385d34734944652a82814707b
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. :1-14
Autor:
Rajkumar Theagarajan, Bir Bhanu
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:9503-9520
Deep learning models have been shown to be vulnerable to adversarial attacks. Adversarial attacks are imperceptible perturbations added to an image such that the deep learning model misclassifies the image with a high confidence. Existing adversarial
Autor:
Rajkumar Theagarajan, Bir Bhanu
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 31:632-646
The world of sports intrinsically involves fast and complex events that are difficult for coaches, trainers and players to analyze, and also for audiences to follow. In fast paced team sports such as soccer, keeping track of all the players and analy
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 21:1096-1108
Currently, there are many approaches for vehicle classification, but there is no specific study on automated, rear view, and video-based robust vehicle classification. The rear view is important for intelligent transportation systems since not all st
Autor:
Nikki Jo-Hao Weng, Bir Bhanu, Hengyue Liu, Rajkumar Theagarajan, Prue Talbot, Benjamin X. Guan
Publikováno v:
Journal of biomedical optics, vol 26, iss 5
Journal of Biomedical Optics
Journal of Biomedical Optics
SignificanceAutomated understanding of human embryonic stem cell (hESC) videos is essential for the quantified analysis and classification of various states of hESCs and their health for diverse applications in regenerative medicine.AimThis paper aim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a9a051677f748f6150beebbd20f2f34
https://escholarship.org/uc/item/2dq5b18t
https://escholarship.org/uc/item/2dq5b18t
Autor:
Bir Bhanu, Rajkumar Theagarajan
Publikováno v:
CVPR Workshops
Defending adversarial attacks is a critical step towards reliable deployment of deep learning empowered solutions for biometrics verification. Current approaches for defending Black box models use the classification accuracy of the Black box as a per
Publikováno v:
CVPR
Defending adversarial attack is a critical step towards reliable deployment of deep learning empowered solutions for industrial applications. Probabilistic adversarial robustness (PAR), as a theoretical framework, is introduced to neutralize adversar
Autor:
Bir Bhanu, Rajkumar Theagarajan
Publikováno v:
PloS one, vol 14, iss 3
PLoS ONE
PLoS ONE, Vol 14, Iss 3, p e0212849 (2019)
PLoS ONE
PLoS ONE, Vol 14, Iss 3, p e0212849 (2019)
Human embryonic stem cells (hESC), derived from the blastocysts, provide unique cellular models for numerous potential applications. They have great promise in the treatment of diseases such as Parkinson's, Huntington's, diabetes mellitus, etc. hESC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e89b3fbfcb5a173c0c173a8613840334
https://escholarship.org/uc/item/91f783kk
https://escholarship.org/uc/item/91f783kk
Autor:
Robert Schwieterman, Yi Shi, Bir Bhanu, Yalin E. Sagduyu, Tugba Erpek, Rajkumar Theagarajan, Yik-Kiong Hue, Kemal Davaslioglu
Publikováno v:
Optical Engineering. 59:1
We explore the blending of model-based and deep learning approaches for target recognition in inverse synthetic aperture radar (ISAR) imagery. It evaluates five different approaches, namely, a model-based geometric hashing approach, a supervised deep