Zobrazeno 1 - 10
of 313
pro vyhledávání: '"A. Bijamov"'
Autor:
Morningstar, Warren, Bijamov, Alex, Duvarney, Chris, Friedman, Luke, Kalibhat, Neha, Liu, Luyang, Mansfield, Philip, Rojas-Gomez, Renan, Singhal, Karan, Green, Bradley, Prakash, Sushant
We study the relative effects of data augmentations, pretraining algorithms, and model architectures in Self-Supervised Learning (SSL). While the recent literature in this space leaves the impression that the pretraining algorithm is of critical impo
Externí odkaz:
http://arxiv.org/abs/2403.05726
Autor:
Kalibhat, Neha, Morningstar, Warren, Bijamov, Alex, Liu, Luyang, Singhal, Karan, Mansfield, Philip
Self-Supervised Learning (SSL) enables training performant models using limited labeled data. One of the pillars underlying vision SSL is the use of data augmentations/perturbations of the input which do not significantly alter its semantic content.
Externí odkaz:
http://arxiv.org/abs/2312.02205
Autor:
Rojas-Gomez, Renan A., Singhal, Karan, Etemad, Ali, Bijamov, Alex, Morningstar, Warren R., Mansfield, Philip Andrew
Existing data augmentation in self-supervised learning, while diverse, fails to preserve the inherent structure of natural images. This results in distorted augmented samples with compromised semantic information, ultimately impacting downstream perf
Externí odkaz:
http://arxiv.org/abs/2312.01187
Publikováno v:
Journal of Applied Physics; Nov2010, Vol. 108 Issue 10, p104701, 9p, 1 Diagram, 12 Graphs
Autor:
Fridon Shubitidze, K. O'Neill, Juan Pablo Fernández, Alex Bijamov, Irma Shamatava, David Karkashadze, Benjamin E. Barrowes
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 52:4658-4670
We introduce a fast and accurate numerical technique for the solution of electromagnetic induction sensing problems called the orthonormalized volume magnetic source model. The model assumes that the secondary magnetic field measured by a sensor orig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6524958b3d01406e87644980b5679e88
https://doi.org/10.1109/tgrs.2013.2283346
https://doi.org/10.1109/tgrs.2013.2283346
Camp Butner Live-Site UXO Classification Using Hierarchical Clustering and Gaussian Mixture Modeling
Autor:
Alex Bijamov, Irma Shamatava, Kevin O'Neill, Fridon Shubitidze, Benjamin E. Barrowes, Juan Pablo Fernández
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 52:5218-5229
We demonstrate in detail a semisupervised scheme to classify unexploded ordnance (UXO) by using as an example the data collected with a time-domain electromagnetic towed array detection system during a live-site blind test conducted at the former Cam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfa8cccc7966b7cb99c1143c4f0e9466
https://doi.org/10.1109/tgrs.2013.2287510
https://doi.org/10.1109/tgrs.2013.2287510
Publikováno v:
International Journal of Infrared & Millimeter Waves; Dec2008, Vol. 29 Issue 12, p1172-1185, 14p
Publikováno v:
Proceedings of XIth International Seminar/Workshop on Direct & Inverse Problems of Electromagnetic Acoustic Wave Theory; 2006, p181-184, 4p
Autor:
Zaridze, R., Glcvedashvili, G., Tavzarashvili, K., Saparishvili, G., Bijamov, A., Bit-Babik, G.
Publikováno v:
DIPED - 2001. Proceedings of 6th International Seminar/Workshop on Direct & Inverse Problems of Electromagnetic & Acoustic Wave Theory (IEEE Cat. No.01TH8554); 2001, p49-53, 5p
Autor:
Bijamov, Alex, Fernandez, Juan Pablo, Barrowes, Benjamin E., Shamatava, Irma, O'Neill, Kevin, Shubitidze, Fridon
Publikováno v:
IEEE Transactions on Geoscience & Remote Sensing; Aug2014, Vol. 52 Issue 8, p5218-5229, 12p