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pro vyhledávání: '"Skufca, Joseph"'
Autor:
Hampel, Katelyn M., Zuo, Jinyu, Das, Priyanka, Schmid, Natalia A., Schuckers, Stephanie, Skufca, Joseph, Valenti, Matthew C.
The assessment of iris uniqueness plays a crucial role in analyzing the capabilities and limitations of iris recognition systems. Among the various methodologies proposed, Daugman's approach to iris uniqueness stands out as one of the most widely acc
Externí odkaz:
http://arxiv.org/abs/2306.12572
Autor:
Das, Priyanka, Plesh, Richard, Talreja, Veeru, Schmid, Natalia, Valenti, Matthew, Skufca, Joseph, Schuckers, Stephanie
Publikováno v:
IEEE Transactions on Biometrics, Behavior, and Identity Science 2023
Iris is an established modality in biometric recognition applications including consumer electronics, e-commerce, border security, forensics, and de-duplication of identity at a national scale. In light of the expanding usage of biometric recognition
Externí odkaz:
http://arxiv.org/abs/2303.12742
Akademický článek
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Autor:
Crouse, David, Skufca, Joseph
In this work, the relativistic phenomena of Lorentz-Fitzgerald contraction and time dilation are derived using a modified distance formula that is appropriate for discrete space. This new distance formula is different than the Pythagorean theorem but
Externí odkaz:
http://arxiv.org/abs/1803.03126
Autor:
Crouse, David, Skufca, Joseph
In this work, the relativistic phenomena of Lorentz contraction and time dilation are derived using a modified distance formula appropriate for discrete space. This new distance formula is different than Pythagoras's theorem but converges to it for d
Externí odkaz:
http://arxiv.org/abs/1706.00693
Publikováno v:
EPJ Data Sci. (2017) 6: 2
The emerging domain of data-enabled science necessitates development of algorithms and tools for knowledge discovery. Human interaction with data through well-constructed graphical representation can take special advantage of our visual ability to id
Externí odkaz:
http://arxiv.org/abs/1606.06159
Autor:
Skufca, Joseph D., ben-Avraham, Daniel
We consider the problem of choosing the best of $n$ samples, out of a large random pool, when the sampling of each member is associated with a certain cost. The quality (worth) of the best sample clearly increases with $n$, but so do the sampling cos
Externí odkaz:
http://arxiv.org/abs/1506.04599
Autor:
Skufca, Joseph D.
Thesis (Ph. D.) -- University of Maryland, College Park, 2005.
Thesis research directed by: Applied Mathematics Program. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also a
Thesis research directed by: Applied Mathematics Program. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also a
Externí odkaz:
http://hdl.handle.net/1903/2897
Autor:
Xavier, Joao B., Young, Vincent B., Skufca, Joseph, Ginty, Fiona, Testerman, Traci, Pearson, Alexander T., Macklin, Paul, Mitchell, Amir, Shmulevich, Ilya, Xie, Lei, Caporaso, J. Gregory, Crandall, Keith A., Simone, Nicole L., Godoy-Vitorino, Filipa, Griffin, Timothy J., Whiteson, Katrine L., Gustafson, Heather H., Slade, Daniel J., Schmidt, Thomas M., Walther-Antonio, Marina R.S., Korem, Tal, Webb-Robertson, Bobbie-Jo M., Styczynski, Mark P., Johnson, W. Evan, Jobin, Christian, Ridlon, Jason M., Koh, Andrew Y., Yu, Michael, Kelly, Libusha, Wargo, Jennifer A.
Publikováno v:
In Trends in Cancer March 2020 6(3):192-204
Autor:
Pudasaini, Batsal, Kanaparthi, Mark, Scrimgeour, Jan, Banerjee, Natasha, Mondal, Sumona, Skufca, Joseph, Dhaniyala, Suresh
Publikováno v:
In Atmospheric Environment: X January 2020 5