Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Brodlie, Ken"'
Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 2009 Jul . 367(1898), 2667-2677.
Externí odkaz:
https://www.jstor.org/stable/40485613
Publikováno v:
In Procedia Computer Science May 2010 1(1):1719-1726
Autor:
El-Khalili, Nuha H., Brodlie, Ken W. *
Publikováno v:
In Future Generation Computer Systems 2000 17(2):147-158
Autor:
Brodlie, Ken1, Brooke, John2, Chen, Min3 m.chen@swansea.ac.uk, Chisnall, David3, Fewings, Ade4, Hughes, Chris4, John, Nigel W.4, Jones, Mark W.3, Riding, Mark2, Roard, Nicolas3
Publikováno v:
Computer Graphics Forum. Jun2005, Vol. 24 Issue 2, p217-245. 29p. 2 Diagrams, 6 Charts.
Autor:
Ying Li1, Brodlie, Ken2
Publikováno v:
Computer Graphics Forum. Dec2003, Vol. 22 Issue 4, p717-727. 11p. 5 Black and White Photographs, 6 Diagrams.
Autor:
Brodlie, Ken, Wood, Jason
Publikováno v:
Computer Graphics Forum. Jun2001, Vol. 20 Issue 2, p125. 24p.
Autor:
Belaton, Behari, Brodlie, Ken
One of the crucial requirements for a Scientific Visualization system is to produce reliable and accurate results. There are many possible sources of errors that could jeopardise these efforts, such as measurement or simulation errors in the pre-anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______8936::169e2a2be05fa121b1fc2b47aa2e41dd
http://hdl.handle.net/11025/5936
http://hdl.handle.net/11025/5936
This paper is about the visualization of positive data subject to positivity constraint. It presents an algorithm that produces a non-negative graph through scattered positive data sets using Modified Quadratic Shepard method. The objective of positi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______8936::45644196f3e494e69f1ec644d0dca392
http://hdl.handle.net/11025/926
http://hdl.handle.net/11025/926
Publikováno v:
Mann, B, Williams, R, Atkinson, M, Brodlie, K, Storkey, A & Williams, C K I 2002, Scientific data mining, integration, and visualization . in Report of workshop held at the National e-Science Institute .
This report summarises the workshop on Scientific Data Mining, Integration and Visualization (SDMIV) held at the e-Science Institute, Edinburgh (eSI[1] ) on 24-25 October 2002, and presents a set of recommendations arising from the discussion that to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::119c4f2cd258e1aaeeff7d91585e3885
https://www.pure.ed.ac.uk/ws/files/23436214/MannEtAl2002ScientificDataMiningIntegrationandVisualisation.pdf
https://www.pure.ed.ac.uk/ws/files/23436214/MannEtAl2002ScientificDataMiningIntegrationandVisualisation.pdf
Autor:
Brodlie, Ken, Dykes, Jason, Gillings, Mark, Haklay, Mordechay E., Kitchin, Rob, Kraak, Menno-Jan
Publikováno v:
Virtual Reality in Geography ISBN: 9780748409051
included in text.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d12bbc2974ba815d569b0e05f483b3c8
https://doi.org/10.1201/9780203305850.pt1
https://doi.org/10.1201/9780203305850.pt1