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pro vyhledávání: '"Aaron K. Baughman"'
Autor:
Aaron K. Baughman, Eduardo Morales, Shiqiang Wang, Hammer Stephen C, Nancy Anne Greco, Reiss Gary William
Publikováno v:
MMSports@MM
Professional tennis is a fast-paced sport with serves and hits that can reach speeds of over 100 mph and matches lasting long in duration. For example, in 13 years of Grand Slam data, there were 454 matches with an average of 3 sets that lasted 40 mi
Autor:
Cameron McAvoy, Aaron K. Baughman, Brian M. O'Connell, Herbert D. Pearthree, Benjie Harrison, Brandon Frankel, Clay Upton, Richard J. Bogdany, Sandy Sun
Publikováno v:
Interfaces. 46:33-48
The rapid growth of the Internet and of mobile and other smart technologies has generated increased demand on digital platforms, which are supported by enterprise cloud-computing capabilities. To support IBM’s leadership in analytics, mobile, and c
Autor:
Richard J. Bogdany, Cameron McAvoy, Brian M. O'Connell, Richard A. Locke, Aaron K. Baughman, Clay Upton
Publikováno v:
IEEE Computational Intelligence Magazine. 10:62-76
Major Golf and Grand Slam Tennis tournaments such as Australian Open, The Masters, Roland Garros, United States Golf Association (USGA), Wimbledon, and United States Tennis Association (USTA) United States (US) Open provide real-time and historical s
Publikováno v:
IEEE Transactions on Computational Intelligence and AI in Games. 6:55-66
DeepQA is a large-scale natural language processing (NLP) question-and-answer system that responds across a breadth of structured and unstructured data, from hundreds of analytics that are combined with over 50 models, trained through machine learnin
This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data p
Publikováno v:
Multimedia Data Mining and Analytics ISBN: 9783319149974
Multimedia Data Mining and Analytics
Multimedia Data Mining and Analytics
The field of Biometrics analyses organic signals from people to identify or verify an identity using a combination of physiological, behavioural or cognitive characteristics such as voice, fingerprints, eye color, facial features, iris, handwriting o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f7cddc270e18b7e9ea0c44d4d489e9b
https://doi.org/10.1007/978-3-319-14998-1_8
https://doi.org/10.1007/978-3-319-14998-1_8
Publikováno v:
Multimedia Data Mining and Analytics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0ae23d956c2fdedecbf7aa2b7f100b9
https://doi.org/10.1007/978-3-319-14998-1
https://doi.org/10.1007/978-3-319-14998-1
Publikováno v:
Proceedings of the Tenth International Workshop on Multimedia Data Mining.
Support Vector Machines (SVM) project feature vectors into a linear or non-linear state space using kernel function(s) and attempts to maximize the margin between classes. The projection of feature vectors into a high dimensional hyperspace structure
Autor:
Christian Eggenberger, Aaron K. Baughman, Peter K. Malkin, Barry M. Graham, Mweene James Monze, Neil A. Katz, Christopher J. Dawson
Publikováno v:
GECCO (Companion)
The practice of medicine and biomedical research has become information based, which enhances safety, efficiency, and the effectiveness of the health enterprise. Informational sources such as entire mapped genome systems, advance imaging techniques,
Autor:
Aaron K. Baughman
Publikováno v:
GECCO (Companion)
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive identification searches by matching with entire biometric feature sets