Zobrazeno 1 - 10
of 988
pro vyhledávání: '"Schmidt, Andrew"'
Autor:
Cousins, David Bruce, Polyakov, Yuriy, Badawi, Ahmad Al, French, Matthew, Schmidt, Andrew, Jacob, Ajey, Reynwar, Benedict, Canida, Kellie, Jaiswal, Akhilesh, Mathew, Clynn, Gamil, Homer, Neda, Negar, Soni, Deepraj, Maniatakos, Michail, Reagen, Brandon, Zhang, Naifeng, Franchetti, Franz, Brinich, Patrick, Johnson, Jeremy, Broderick, Patrick, Franusich, Mike, Zhang, Bo, Cheng, Zeming, Pedram, Massoud
Secure computation is of critical importance to not only the DoD, but across financial institutions, healthcare, and anywhere personally identifiable information (PII) is accessed. Traditional security techniques require data to be decrypted before p
Externí odkaz:
http://arxiv.org/abs/2304.05237
Autor:
Soni, Deepraj, Neda, Negar, Zhang, Naifeng, Reynwar, Benedict, Gamil, Homer, Heyman, Benjamin, Nabeel, Mohammed, Badawi, Ahmad Al, Polyakov, Yuriy, Canida, Kellie, Pedram, Massoud, Maniatakos, Michail, Cousins, David Bruce, Franchetti, Franz, French, Matthew, Schmidt, Andrew, Reagen, Brandon
Ring-Learning-with-Errors (RLWE) has emerged as the foundation of many important techniques for improving security and privacy, including homomorphic encryption and post-quantum cryptography. While promising, these techniques have received limited us
Externí odkaz:
http://arxiv.org/abs/2303.17118
Autor:
Schmidt, Andrew, Wigent, Mark A.
ITC/USA 2014 Conference Proceedings / The Fiftieth Annual International Telemetering Conference and Technical Exhibition / October 20-23, 2014 / Town and Country Resort & Convention Center, San Diego, CA
There is a need for a capability that ena
There is a need for a capability that ena
Externí odkaz:
http://hdl.handle.net/10150/577515
Autor:
Dominic, Jeffrey, Bhaskhar, Nandita, Desai, Arjun D., Schmidt, Andrew, Rubin, Elka, Gunel, Beliz, Gold, Garry E., Hargreaves, Brian A., Lenchik, Leon, Boutin, Robert, Chaudhari, Akshay S.
Although supervised learning has enabled high performance for image segmentation, it requires a large amount of labeled training data, which can be difficult to obtain in the medical imaging field. Self-supervised learning (SSL) methods involving pre
Externí odkaz:
http://arxiv.org/abs/2210.07936
Autor:
Schmidt, Andrew A.1,2 (AUTHOR), Grosberg, Alexander Y.3 (AUTHOR), Grosberg, Anna1,2,4,5 (AUTHOR) grosberg@uci.edu
Publikováno v:
PLoS Computational Biology. 8/5/2024, Vol. 20 Issue 8, p1-21. 21p.
Autor:
Datta, Gourav, Kundu, Souvik, Yin, Zihan, Mathai, Joe, Liu, Zeyu, Wang, Zixu, Tian, Mulin, Lu, Shunlin, Lakkireddy, Ravi T., Schmidt, Andrew, Abd-Almageed, Wael, Jacob, Ajey P., Jaiswal, Akhilesh R., Beerel, Peter A.
Today's high resolution, high frame rate cameras in autonomous vehicles generate a large volume of data that needs to be transferred and processed by a downstream processor or machine learning (ML) accelerator to enable intelligent computing tasks, s
Externí odkaz:
http://arxiv.org/abs/2205.14285
Autor:
Desai, Arjun D, Schmidt, Andrew M, Rubin, Elka B, Sandino, Christopher M, Black, Marianne S, Mazzoli, Valentina, Stevens, Kathryn J, Boutin, Robert, Ré, Christopher, Gold, Garry E, Hargreaves, Brian A, Chaudhari, Akshay S
Magnetic resonance imaging (MRI) is a cornerstone of modern medical imaging. However, long image acquisition times, the need for qualitative expert analysis, and the lack of (and difficulty extracting) quantitative indicators that are sensitive to ti
Externí odkaz:
http://arxiv.org/abs/2203.06823
Autor:
Pahlavan, Farideh, Hung, Albert M., Aldagari, Sand, Schmidt, Andrew J., Valdez, Peter J., Fini, Elham H.
Publikováno v:
In Resources, Conservation & Recycling June 2024 205
Portability of hardware designs between Programmable Logic Devices (PLD) can be accomplished through the use of device-agnostic hardware description languages (HDL) such as Verilog or VHDL. Hardware designers can use HDLs to migrate hardware designs
Externí odkaz:
http://arxiv.org/abs/2111.04913
Autor:
Jiang, Yuan, Ou, Longwen, Snowden-Swan, Lesley, Cai, Hao, Li, Shuyun, Ramasamy, Karthikeyan, Schmidt, Andrew, Wang, Huamin, Santosa, Daniel M., Olarte, Mariefel V., Guo, Mond, Thorson, Michael R.
Publikováno v:
In Bioresource Technology April 2024 397