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137
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ICPR
2004
IEEE
16 years 5 months ago
Missing Microarray Data Estimation Based on Projection onto Convex Sets Method
DNA microarrays have gained widespread uses in biological studies. Missing values in a microarray experiment must be estimated before further analysis. In this paper, we propose a...
Alan Wee-Chung Liew, Hong Yan, Xiangchao Gan
BILDMED
2006
112views Algorithms» more  BILDMED 2006»
15 years 6 months ago
Extracting Consistent and Manifold Interfaces from Multi-valued Volume Data Sets
We propose an algorithm to construct a set of interfaces that separate the connected components of a multi-valued volume dataset. While each single interface is a manifold triangle...
Stephan Bischoff, Leif Kobbelt
ICCS
2007
Springer
15 years 8 months ago
Efficient Implementation of an Optimal Interpolator for Large Spatial Data Sets
Abstract. Interpolating scattered data points is a problem of wide ranging interest. One of the most popular interpolation methods in geostatistics is ordinary kriging. The price f...
Nargess Memarsadeghi, David M. Mount
112
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GEOINFORMATICA
2002
84views more  GEOINFORMATICA 2002»
15 years 4 months ago
Simultaneous Graphic Generalization of Vector Data Sets
Manual cartographic generalization is a simultaneous process. However, most automatic approaches so far have been sequential; generalization operators are applied one at a time in...
Lars Harrie, Tapani Sarjakoski
IDA
1997
Springer
15 years 8 months ago
How to Find Big-Oh in Your Data Set (and How Not to)
The empirical curve bounding problem is de ned as follows. Suppose data vectors X Y are presented such that E(Y i]) = f(X i]) where f(x) is an unknown function. The problem is to a...
Catherine C. McGeoch, Doina Precup, Paul R. Cohen