Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Green, Marc A."'
Autor:
Naihin, Silen, Atkinson, David, Green, Marc, Hamadi, Merwane, Swift, Craig, Schonholtz, Douglas, Kalai, Adam Tauman, Bau, David
A prerequisite for safe autonomy-in-the-wild is safe testing-in-the-wild. Yet real-world autonomous tests face several unique safety challenges, both due to the possibility of causing harm during a test, as well as the risk of encountering new unsafe
Externí odkaz:
http://arxiv.org/abs/2311.10538
Autor:
Green, Marc C., Plumbley, Mark D.
Federated learning (FL) is a privacy-preserving machine learning method that has been proposed to allow training of models using data from many different clients, without these clients having to transfer all their data to a central server. There has
Externí odkaz:
http://arxiv.org/abs/2105.08550
Autor:
Green, Marc, Rodrigues-Lima, Leandro, Zankl, Andreas, Irazoqui, Gorka, Heyszl, Johann, Eisenbarth, Thomas
Attacks on the microarchitecture of modern processors have become a practical threat to security and privacy in desktop and cloud computing. Recently, cache attacks have successfully been demonstrated on ARM based mobile devices, suggesting they are
Externí odkaz:
http://arxiv.org/abs/1703.09763
Autor:
Green, Marc, Hess, Justin, Lacroix, Tom, Marchetto, Jordan, McCaffrey, Erik, Scougal, Erik, Humi, Mayer
In this paper we put forward a proposal to use Near Earth Objects as radiation shield for deep space exploration. In principle these objects can provide also a spacious habitat for the astronauts and their supplies on their journeys. We undertake als
Externí odkaz:
http://arxiv.org/abs/1306.3118
Autor:
Smith, F. Dow, Tyler, C. W., Green, Marc A., Corwin, Thomas R., Zemon, Vance, May, James G., Matteson, Halsey H.
Publikováno v:
Science, 1977 Oct . 198(4313), 207-210.
Externí odkaz:
https://www.jstor.org/stable/1744952
Publikováno v:
NeoBiota
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::d4d5244f91e4d18599d7f16736073ef0
This paper reports on a study to assess the feasibility of creating an intuitive environmental sound monitoring system that can be used on-location and return meaningful measurements beyond the standard LAeq. An iOS app was created using Machine Lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::f46b6094734d8d86c3ea4110268b7d79
https://eprints.whiterose.ac.uk/153173/7/1_s2.0_S0003682X19303007_main.pdf
https://eprints.whiterose.ac.uk/153173/7/1_s2.0_S0003682X19303007_main.pdf
Autor:
Green, Marc, Odom, J. Vernon
Publikováno v:
Science, 1986 Sep . 233(4771), 1427-1429.
Externí odkaz:
https://www.jstor.org/stable/1697466
The classification of acoustic scenes and events is an emerging area of research in the field of machine listening. Most of the research conducted so far uses spectral features extracted from monaural or stereophonic audio rather than spatial feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::7b19460bdc9e355631f4db46538ba7f9
https://eprints.whiterose.ac.uk/126361/2/applsci_07_01204_v2.pdf
https://eprints.whiterose.ac.uk/126361/2/applsci_07_01204_v2.pdf