Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hatef Monajemi"'
Publikováno v:
Harvard Data Science Review (2019)
Externí odkaz:
https://doaj.org/article/575b8835167a4af3a87daca62b97c27f
Publikováno v:
Journal of the American Statistical Association. 116:1088-1099
Astrophysicists are interested in recovering the three-dimensional gas emissivity of a galaxy cluster from a two-dimensional telescope image. Blurring and point sources make this inverse problem ha...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e67db2f30aeb6d835e8b91c75796cc2
https://doi.org/10.1080/01621459.2020.1796676
https://doi.org/10.1080/01621459.2020.1796676
Modern data science research can involve massive computational experimentation; an ambitious PhD in computational fields may do experiments consuming several million CPU hours. Traditional computing practices, in which researchers use laptops or shar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a895ebf82fc5278412c5e5c85cebf01
Autor:
David L. Donoho, Hatef Monajemi
We study anisotropic undersampling schemes like those used in multi-dimensional magnetic resonance (MR) spectroscopy and imaging, which sample exhaustively in certain time dimensions and randomly in others. Our analysis shows that anisotropic undersa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c8920902ceb115933df7cfe84c66126
Publikováno v:
IEEE BigData
The increasing availability of access to large-scale computing clusters — for example via the cloud — is changing the way scientific research can be conducted, enabling experiments of a scale and scope that would have been inconceivable several y
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::908262836176eed31e59b864f680dee6
https://doi.org/10.1109/bigdata.2016.7840870
https://doi.org/10.1109/bigdata.2016.7840870
Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices
Autor:
Sina Jafarpour, Will Fithian, Michael Hornstein, Georges Goetz, David Strauss, Michael Marx, Akshay Mittal, Junjie Qin, Kevin S. Raines, Yuxin Chen, Leonid Pekelis, Matan Gavish, Logan Grosenick, Reza Omrani, Milinda Lakkam, Gage Hills, Dinesh Bharadia, Andrew M. Saxe, Sergio Bacallado, Zhen Zhu, Hatef Monajemi, Stat, Ernest K. Ryu, Keith Siilats, Jason D. Lee, Anil Damle, Young Ki Choi, Jian Li, David L. Donoho, Albert No, Sivaram Ambikasaran, Chaojun Wang, Linxi Liu, Gary Tang, Mainak Chowdhury, Samuel R. Gross, Zoey Zhou, Dai Shi, Soham Chowdhury, Carlos Sing-Long
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 110(4)
In compressed sensing, one takes samples of an N -dimensional vector using an matrix A , obtaining undersampled measurements . For random matrices with independent standard Gaussian entries, it is known that, when is k -sparse, there is a precisely d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33178093cb1d141ac6b6988e63d22bdb
https://pubmed.ncbi.nlm.nih.gov/23319642
https://pubmed.ncbi.nlm.nih.gov/23319642