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pro vyhledávání: '"Michael Wakin"'
Publikováno v:
The Journal of the Acoustical Society of America. 152:2240-2256
We derive a compressive sampling method for acoustic field reconstruction using field measurements on a predefined spherical grid that has theoretically guaranteed relations between signal sparsity, measurement number, and reconstruction accuracy. Th
Publikováno v:
IEEE Transactions on Signal Processing. 70:5652-5667
In this paper, we prove a compressive sensing guarantee for restricted measurement domains on the rotation group, $\mathrm{SO}(3)$. We do so by first defining Slepian functions on a measurement sub-domain $R$ of the rotation group $\mathrm{SO}(3)$. T
Publikováno v:
Second International Meeting for Applied Geoscience & Energy.
Publikováno v:
Michael Wakin
Tensor train decomposition is widely used in machine learning and quantum physics due to its concise representation of high-dimensional tensors, overcoming the curse of dimensionality. Cross approximation-originally developed for representing a matri
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Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 32
The Nystrom method is a popular technique for generating low-rank approximations of kernel matrices that arise in many machine learning problems. The approximation quality of the Nystrom method depends crucially on the number of selected landmark poi
Autor:
Sami Kirolos, Jason Laska, Michael Wakin, Marco Duarte, Dror Baron, Tamer Ragheb, Yehia Massoud, Richard Baraniuk
Publikováno v:
2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration & Software; 2006, p71-74, 4p
Publikováno v:
Journal of Fourier Analysis & Applications; Dec2008, Vol. 14 Issue 5/6, p877-905, 29p
Publikováno v:
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