Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Lucas A. Overbey"'
Autor:
Lucas A. Overbey, Todd van Epps, Jean Pan, Jamie R. Lyle, Alan Jaegar, Branson Holt, Ryan Jaeger, Martin Ruane
Publikováno v:
Geospatial Informatics XI.
Deep convolutional neural networks (CNNs) have proven to be successful for learning task-specific features that achieve state-of-the-art performance on many computer vision tasks. For object detection applications, the introduction of region-based CN
Autor:
Ryan Jaegar, Lucas A. Overbey, Todd van Epps, Jamie R. Lyle, Alan Jaegar, Martin Ruane, Georgianna Campbell, Jean Pan
Publikováno v:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXX.
Publikováno v:
Social, Cultural, and Behavioral Modeling ISBN: 9783030217402
SBP-BRiMS
SBP-BRiMS
Increased use of and reliance on social media has led to a responsive rise in the creation of automated accounts on such platforms. Recent approaches to identification of individual automated accounts has relied on machine learning methods utilizing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a48bc398cb16ddd9f54f48bf0e7d7248
https://doi.org/10.1007/978-3-030-21741-9_10
https://doi.org/10.1007/978-3-030-21741-9_10
Publikováno v:
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX.
In this paper, we discuss the design considerations and challenges of using applied machine learning in complex systems, a necessity of operationalizing machine learning techniques. Although many applications of machine learning intend to discern key
Autor:
Lucas A. Overbey, Scott C. Batson, Lakeisha Williams, Christopher R. Williams, Robert Regal, Jamie R. Lyle
Publikováno v:
Social, Cultural, and Behavioral Modeling ISBN: 9783319602394
SBP-BRiMS
SBP-BRiMS
Readily observable communications found on Internet social media sites can play a prominent role in spreading information which, when accompanied by subjective statements, can indicate public sentiment and perception. A key component to understanding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19fa8ce47776671587e73fb329cd4803
https://doi.org/10.1007/978-3-319-60240-0_26
https://doi.org/10.1007/978-3-319-60240-0_26
Publikováno v:
Social Network Analysis and Mining. 3:1351-1378
With the recent explosion in availability and use of internet social media, contentious politics is currently undergoing a shift in nature. This shift has resulted in technologically savvy groups of people that utilize these new communication resourc
Autor:
Lucas A. Overbey, Benjamin Greco, Bryan Williams, Scott C. Batson, Ana Carmen Gonzalez, Lakeisha Williams, Seth Bartynski
Publikováno v:
2015 IEEE International Symposium on Technologies for Homeland Security (HST).
With the recent explosion in availability and use of internet social media, citizens now utilize these resources to transmit information quickly about events as they unfold. However, for responding personnel in emergency situations, it is often diffi
Recent years have seen a large growth in research developed aimed at modeling the intricate social-cultural climate in which we operate. In particular, agent-based models have garnered considerable attention for their ability to simulate heterogeneou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd651051e8c5fc26fc981d49d2d5c396
https://doi.org/10.21236/ada591808
https://doi.org/10.21236/ada591808
Publikováno v:
Social Computing, Behavioral-Cultural Modeling and Prediction ISBN: 9783642372094
SBP
SBP
Recent international events surrounding contentious political environments have uncovered a new utility for social media. Communities now use resources such as Facebook and Twitter to quickly spread information and project influence amongst potential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8027a777fc4e51af7f3a80d4cf19370b
https://doi.org/10.1007/978-3-642-37210-0_41
https://doi.org/10.1007/978-3-642-37210-0_41
Publikováno v:
SPIE Proceedings.
For classical simulation, the quantum Fourier transform (QFT) requires very large matrix operations. Previous work has shown that the semi-classical quantum Fourier transform (SCQFT) can use these individual coefficients to perform the QFT using only