Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Rachel Grotheer"'
Publikováno v:
Association for Women in Mathematics Series ISBN: 9783030798901
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6a30f7754d677d720babfad4203efd9
https://doi.org/10.1007/978-3-030-79891-8_9
https://doi.org/10.1007/978-3-030-79891-8_9
Autor:
Alona Kryshchenko, Yihuan Huang, Kyung Ha, Elizaveta Rebrova, Longxiu Huang, Deanna Needell, Xia Li, Rachel Grotheer, Oleksandr Kryshchenko, Pengyu Li
Publikováno v:
NLP4COVID@EMNLP
A dataset of COVID-19-related scientific literature is compiled, combining the articles from several online libraries and selecting those with open access and full text available. Then, hierarchical nonnegative matrix factorization is used to organiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1cb0f1c047ace6316ca05cd47e3992f
Publikováno v:
ACSSC
The multiple measurement vector (MMV) problem with jointly sparse signals has been of recent interest across many fields and can be solved via l 2,1 minimization. In such applications, prior information is typically available and utilizing weights to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b617fa344cc5d2eda5b390200387aaa6
https://doi.org/10.1109/ieeeconf44664.2019.9048818
https://doi.org/10.1109/ieeeconf44664.2019.9048818
Publikováno v:
EMBC
Diffuse optical tomography (DOT) is an important functional imaging modality in clinical diagnosis and treatment. As the number of wavelengths in the acquired DOT data grows, it becomes very challenging to reconstruct diffusion and absorption coeffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9baa7dc76910b27a1d0a8f5b4a2f7b75
https://doi.org/10.1109/embc.2019.8857069
https://doi.org/10.1109/embc.2019.8857069
Publikováno v:
Association for Women in Mathematics Series ISBN: 9783030115654
We consider a collection of independent random variables that are identically distributed, except for a small subset which follows a different, anomalous distribution. We study the problem of detecting which random variables in the collection are gov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa83c4c7e76a66896e6aaf557751b478
https://doi.org/10.1007/978-3-030-11566-1_10
https://doi.org/10.1007/978-3-030-11566-1_10
Publikováno v:
ITA
Low-rank tensor recovery problems have been widely studied in many signal processing and machine learning applications. Tensor rank is typically defined under certain tensor decomposition. In particular, Tucker decomposition is known as one of the mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1c88c3242a4c7c2bff16f99b6c3f873
Recovery of low-rank matrices from a small number of linear measurements is now well-known to be possible under various model assumptions on the measurements. Such results demonstrate robustness and are backed with provable theoretical guarantees. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acb61d558b49a336434041703deeeb11
Publikováno v:
Association for Women in Mathematics Series ISBN: 9783030115654
While single measurement vector (SMV) models have been widely studied in signal processing, there is a surging interest in addressing the multiple measurement vectors (MMV) problem. In the MMV setting, more than one measurement vector is available an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4e7d342c7e399242eb8c97b8d0044f5
https://doi.org/10.1007/978-3-030-11566-1_1
https://doi.org/10.1007/978-3-030-11566-1_1
Sparse representation of a single measurement vector (SMV) has been explored in a variety of compressive sensing applications. Recently, SMV models have been extended to solve multiple measurement vectors (MMV) problems, where the underlying signal i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50a07c1d15ed289df757c08a50c409ea
http://arxiv.org/abs/1711.01521
http://arxiv.org/abs/1711.01521
Autor:
Rachel Grotheer, Tyler Massaro, Christina J. Edholm, Simone C. Gray, Isabel Chen, Howard H. Chang, Yiqiang Zheng
This study uses county-level surveillance data to systematically analyze geographic variation and clustering of persons living with diagnosed HIV (PLWH) in the southern United States in 2011. Clusters corresponding to large metropolitan areas – inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cfff4026323e6179dccfe3e9fb9fc68
https://europepmc.org/articles/PMC4724318/
https://europepmc.org/articles/PMC4724318/