Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Navya Nagananda"'
Publikováno v:
The Open Journal of Astrophysics, Vol 7 (2024)
The GALEX Nearby Young Star Search (GALNYSS) yielded the identification of more than 2000 late-type stars that, based on their ultraviolet and infrared colors and pre-Gaia proper motions, are potentially of age
Externí odkaz:
https://doaj.org/article/b5d64039204d4d5b9e85df9e8b9c6280
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 1, Pp 90-98 (2020)
Principal component analysis is one of the most commonly used methods for dimensionality reduction in signal processing. However, the most commonly used PCA formulation is based on the L2-norm, which can be highly influenced by outlier data. In recen
Externí odkaz:
https://doaj.org/article/44ab3b0e04044d3f9bfe11c91a18ab30
Autor:
Navya Nagananda, Abu Md Niamul Taufique, Raaga Madappa, Chowdhury Sadman Jahan, Breton Minnehan, Todd Rovito, Andreas Savakis
Publikováno v:
Sensors, Vol 21, Iss 23, p 8070 (2021)
Deep learning grew in importance in recent years due to its versatility and excellent performance on supervised classification tasks. A core assumption for such supervised approaches is that the training and testing data are drawn from the same under
Externí odkaz:
https://doaj.org/article/b29666a701c84c0fa8eb796715e60213
Autor:
Andreas Savakis, Navya Nagananda, Chowdhury Sadman Jahan, Raaga Madappa, Breton Minnehan, Todd V. Rovito, Abu Md Niamul Taufique
Publikováno v:
Sensors, Vol 21, Iss 8070, p 8070 (2021)
Sensors (Basel, Switzerland)
Sensors; Volume 21; Issue 23; Pages: 8070
Sensors (Basel, Switzerland)
Sensors; Volume 21; Issue 23; Pages: 8070
Deep learning grew in importance in recent years due to its versatility and excellent performance on supervised classification tasks. A core assumption for such supervised approaches is that the training and testing data are drawn from the same under
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fda150e7d22cf2999f38ff7baabacd4
https://www.mdpi.com/1424-8220/21/23/8070
https://www.mdpi.com/1424-8220/21/23/8070
Autor:
Navya Nagananda, Andreas Savakis
Publikováno v:
CVPR Workshops
Linear Discriminant Analysis (LDA) is an important supervised dimensionality reduction method. Traditional LDA makes use of the eigenvalue decomposition of the scatter matrices based on the entire dataset. However, in some settings the whole dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::346e4f829e4162b42bb5baa11ef6a061
https://doi.org/10.1109/cvprw53098.2021.00502
https://doi.org/10.1109/cvprw53098.2021.00502
Publikováno v:
IGARSS
Synthetic Aperture Radar (SAR) imagery has diverse applications in land and marine surveillance. Unlike electro-optical (EO) systems, these systems are not affected by weather conditions and can be used in the day and night times. With the growing im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19f672a0c3947ffbbb5e4e48e1584684
http://arxiv.org/abs/2103.11061
http://arxiv.org/abs/2103.11061
Publikováno v:
Regenerative Medicine: Laboratory to Clinic ISBN: 9789811037009
It has been unequivocally demonstrated that cell-extrinsic agents play important roles in stem cell fate decisions, along with their intrinsic genetic makeup. There have been quite extensive studies on soluble factors which are found essentially in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93d88facd2e446134704b5b12214bef8
https://doi.org/10.1007/978-981-10-3701-6_4
https://doi.org/10.1007/978-981-10-3701-6_4