Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Paul A. Elmore"'
Publikováno v:
International Journal of Intelligent Systems. 34:366-385
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ac6237c2c7196d6474d2d03cbe5f3ff
https://doi.org/10.1002/int.22056
https://doi.org/10.1002/int.22056
Autor:
Frederick E. Petry, Brian S. Bourgeois, Vicki Lynn Ferrini, Paul A. Elmore, David Marks, Cheryl Ann Blain
Publikováno v:
Computers & Geosciences. 109:59-66
Many oceanographic applications require multi resolution representation of gridded data such as for bathymetric data. Although triangular irregular networks (TINs) allow for variable resolution, they do not provide a gridded structure. Right TINs (RT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca926b621715cb4b41ee1d93553007cb
https://doi.org/10.1016/j.cageo.2017.07.008
https://doi.org/10.1016/j.cageo.2017.07.008
Publikováno v:
Soft Computing. 22:2463-2469
An approach to objects or events similarity is based on the similarity of the data values of the specific attributes. Similarity is refined by considering importance weights for attributes and also the issues of unusual attribute values where the con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d55fc07ba27f201ddcb497f04b0f981b
https://doi.org/10.1007/s00500-017-2721-5
https://doi.org/10.1007/s00500-017-2721-5
Autor:
Brian R. Calder, Paul A. Elmore
Publikováno v:
Marine Geodesy. 40:341-360
The uncertainty of a scalar field is essential structuring information for any estimation problem. Establishing the uncertainty in a dense gridded product from sparse or random uncertainty-attributed input data is not, however, routine. This manuscri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::662caa40768b40e79d4be63f5da3a879
https://doi.org/10.1080/01490419.2017.1345811
https://doi.org/10.1080/01490419.2017.1345811
Publikováno v:
Information Fusion. 36:185-190
We develop an approach for flexible computation of likelihood functions of probabilistic evidence in the context of forensic crime investigations. An ordered weighted average (OWA) aggregation approach allows a softening of the strong likelihood cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef30d636ae692ca02a35aa7549b2069b
https://doi.org/10.1016/j.inffus.2016.11.013
https://doi.org/10.1016/j.inffus.2016.11.013
Publikováno v:
IEEE Transactions on Cybernetics. 47:1551-1561
Uncertainty in spatial geometrical issues is represented using Dempster-Shafer (D-S) theory. Interval approaches are used for D-S uncertainty of spatial locations and the associated arithmetic operations on such intervals described. Categories of unc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12e9b57d5e2ca287fcc61342b307c7fe
https://doi.org/10.1109/tcyb.2016.2551979
https://doi.org/10.1109/tcyb.2016.2551979
Publikováno v:
Marine Geophysical Research. 38:291-301
Hydrographic offices hold large valuable historic bathymetric data sets, many of which were collected using older generation survey systems that contain little or no metadata and/or uncertainty estimates. These bathymetric data sets generally contain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39a940b7fad5505d71155e5b1d2da1b9
https://doi.org/10.1007/s11001-017-9304-9
https://doi.org/10.1007/s11001-017-9304-9
Publikováno v:
Computers & Geosciences. 99:116-124
Extremely randomized trees (ET) classifiers, an extension of random forests (RF) are applied to classification of features such as seamounts derived from bathymetry data. This data is characterized by sparse training data from by large noisy features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2d14177bc471405fec844a3ead31eb4
https://doi.org/10.1016/j.cageo.2016.10.013
https://doi.org/10.1016/j.cageo.2016.10.013
Autor:
Elizabeth Gilmour, Kristen Nock, Eric Leadbetter, Nina M. Sweeney, Frederick E. Petry, Paul A. Elmore
Publikováno v:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII.
Developing accurate methods to determine bathymetry, bottom type, and water column optical properties from hyperspectral imagery is an ongoing scientific problem. Recent advances in deep learning have made convolutional neural networks (CNNs) a popul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::556e64b740924684bd9a7220a06019d1
https://doi.org/10.1117/12.2519881
https://doi.org/10.1117/12.2519881
Publikováno v:
Geochemistry, Geophysics, Geosystems. 17:2576-2590
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::158801c114331fa2cf1606c75c66ffe6
https://doi.org/10.1002/2015gc006239
https://doi.org/10.1002/2015gc006239