Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Cliff A. Joslyn"'
Autor:
Cliff A. Joslyn, Lauren Charles, Chris DePerno, Nicholas Gould, Kathleen Nowak, Brenda Praggastis, Emilie Purvine, Michael Robinson, Jennifer Strules, Paul Whitney
Publikováno v:
Sensors, Vol 20, Iss 12, p 3418 (2020)
Integration of multiple, heterogeneous sensors is a challenging problem across a range of applications. Prominent among these are multi-target tracking, where one must combine observations from different sensor types in a meaningful and efficient way
Externí odkaz:
https://doaj.org/article/8bca54c96039483499c26a7f5f6a2ee4
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
As data grows in size and complexity, finding frameworks which aid in interpretation and analysis has become critical. This is particularly true when data comes from complex systems where extensive structure is available, but must be drawn from perip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a4d4a9d3d6f04fc1a777377a7d5ca46
https://doi.org/10.1109/iccvw54120.2021.00469
https://doi.org/10.1109/iccvw54120.2021.00469
Autor:
Emilie Purvine, Ignacio J. Tripodi, Tiffany J. Callahan, Lawrence Hunter, Brenda Praggastis, Cliff A. Joslyn, Sinan Aksoy, Brett Jefferson
Publikováno v:
Unifying Themes in Complex Systems X ISBN: 9783030673178
As data structures and mathematical objects used for complex systems modeling, hypergraphs sit nicely poised between on the one hand the world of network models, and on the other that of higher-order mathematical abstractions from algebra, lattice th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::051d5bf5335ae597471fc2d775a663b9
https://doi.org/10.1007/978-3-030-67318-5_25
https://doi.org/10.1007/978-3-030-67318-5_25
Autor:
Louis Jenkins, Emilie Purvine, Brenda Praggastis, Jesun Sahariar Firoz, Mark Raugas, Cliff A. Joslyn
Publikováno v:
IPDPS Workshops
In this paper, we discuss our experience in implementing homology computation, in particular the Betti number calculations in Chapel hypergraph Library (CHGL). Given a dataset represented as a hypergraph, a Betti number for a particular dimension k i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff3f79c78c7467954aab4a1d99bbe616
https://doi.org/10.1109/ipdpsw50202.2020.00112
https://doi.org/10.1109/ipdpsw50202.2020.00112
Autor:
Peter Halfmann, Lisa M. Bramer, Song Feng, Vineet D. Menachery, Natalie C. Heller, Jacob Kocher, Katrina M. Waters, Amy C. Sims, Michael S. Diamond, Emilie Purvine, Emily Heath, Henry Kvinge, Qing Tan, Kevin B. Walters, Brenda Praggastis, Brett Jefferson, Kelly G. Stratton, Adam S. Cockrell, Jason E. McDermott, Ralph S. Baric, Larissa B. Thackray, Yoshihiro Kawaoka, Shufang Fan, Timothy P. Sheahan, Cliff A. Joslyn, Danielle Westhoff-Smith, Amie J. Eisfeld, Hugh D. Mitchell
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-21 (2021)
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-21 (2021)
Background Representing biological networks as graphs is a powerful approach to reveal underlying patterns, signatures, and critical components from high-throughput biomolecular data. However, graphs do not natively capture the multi-way relationship
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16d340fe08ffb5d60c4a47f53458dcf6
Autor:
Louis Jenkins, Marcin Zalewski, Cliff A. Joslyn, Sinan Aksoy, Brenda Praggastis, Emilie Purvine, Jesun Sahariar Firoz, Dustin Arendt
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030484774
WAW
WAW
We report on the use of novel mathematical methods in hypergraph analytics over a large quantity of DNS data. Hypergraphs generalize graphs, as used in network science, to better model complex multiway relations in cyber data. Specifically, casting D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::632b7fa65649e536a3a259893b5c29c7
https://doi.org/10.1007/978-3-030-48478-1_1
https://doi.org/10.1007/978-3-030-48478-1_1
Publikováno v:
Notices of the American Mathematical Society. 69:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1c477b2d294be6bad489101ed9f7205
https://doi.org/10.1090/noti2424
https://doi.org/10.1090/noti2424
Publikováno v:
HPEC
The Partitioned Global Address Space (PGAS) programming model can be implemented either with programming language features or with runtime library APIs, each implementation favoring different aspects (e.g., productivity, abstraction, flexibility, or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20702957290180c37cf49aebc7e8b7cd
https://doi.org/10.1109/hpec.2019.8916309
https://doi.org/10.1109/hpec.2019.8916309
Publikováno v:
EPJ Data Science, Vol 9, Iss 1, Pp 1-34 (2020)
We propose high-order hypergraph walks as a framework to generalize graph-based network science techniques to hypergraphs. Edge incidence in hypergraphs is quantitative, yielding hypergraph walks with both length and width. Graph methods which then g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::917f9561c03cb834e836f6a7a3e10450
http://arxiv.org/abs/1906.11295
http://arxiv.org/abs/1906.11295
Autor:
Kathleen Nowak, Michael Robinson, Jennifer Strules, Brenda Praggastis, Paul D. Whitney, Nicholas P. Gould, Emilie Purvine, Cliff A. Joslyn, Christopher S. DePerno, Lauren E. Charles
Publikováno v:
Sensors, Vol 20, Iss 3418, p 3418 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 12
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 12
Integration of heterogeneous sensors is a challenging problem across a range of applications. Prominent among these are multi-target tracking, where one must combine observations from different sensor types in a meaningful way to track multiple targe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::106e9b9f8f5297cb0a32a1141ad1c240