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BibTeX entry
@Article{Tuohy:1996:NLD,
author = "S. T. Tuohy and N. M. Patrikalakis",
title = "Non-linear Data Representation for Ocean Exploration
and Visualization",
journal = j-J-VIS-COMP-ANIMATION,
volume = "7",
number = "3",
pages = "125--139 (or 135--140??)",
month = jul,
year = "1996",
CODEN = "JVCAEO",
ISSN = "1049-8907 (print), 1099-1778 (electronic)",
ISSN-L = "1049-8907",
bibdate = "Thu Jul 29 07:22:37 MDT 1999",
bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Graphics/siggraph/1996.bib.gz;
http://www.interscience.wiley.com/jpages/1049-8907;
http://www.math.utah.edu/pub/tex/bib/jviscompanimation.bib;
telnet sigggraph.org: login biblio",
URL = "http://www3.interscience.wiley.com/cgi-bin/abstract?ID=23598",
abstract = "This paper proposes a method for the representation of
functions describing a measured geophysical property
(via sparsely scattered ordensely defined point data)
by tensor and triple product interval B-splines
{(IBS)}. The spline representation facilitates
archiving, data storage reduction, visualization and
more general high-level interrogation. Interval methods
allow for the representation of the function values
together with their uncertainty. The uncertainty is
introduced, for example, because the measurement (or
dependent variable) or the location of the sensor (the
independent variable(s)) is known only to a finite
precision. In this paper, we present algorithms for the
creation of {IBS} geometries based on minimization with
linear constraints and we illustrate the method using
geophysical ocean data and their interrogation.",
acknowledgement = ack-nhfb,
classification = "C4130 (Interpolation and function approximation);
C4260 (Computational geometry); C6120 (File
organisation); C6130B (Graphics techniques); C7340
(Geophysics computing)",
conflocation = "Rostock, Germany; May 1995",
conftitle = "Computer Graphics Technology for the Exploration of
the Sea. CES '95",
corpsource = "Dept. of Ocean Eng., MIT, Cambridge, MA, USA",
keywords = "algorithms; archiving; computational geometry; data
storage reduction; data structures; data visualisation;
function representation; function value representation;
function value uncertainty; geophysical maps;
geophysical ocean data; geophysics computing;
high-level interrogation; interval methods; linear
constraint; measured geophysical property;
minimization; nonlinear data representation; ocean
exploration; oceanographic techniques; oceanography;
sensor location; spline approximation; splines
(mathematics); tensor; triple product interval
B-splines; visualization",
treatment = "T Theoretical or Mathematical",
}
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