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» New Algorithms for Statistical Analysis of Interval Data
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VMV
2001
132views Visualization» more  VMV 2001»
15 years 1 months ago
Optimal Memory Constrained Isosurface Extraction
Efficient isosurface extraction from large volume data sets requires special algorithms and data structures. Such algorithms typically either use a hierarchical spatial subdivisio...
Dietmar Saupe, Jürgen Toelke
STOC
2010
ACM
185views Algorithms» more  STOC 2010»
15 years 3 months ago
Measuring independence of datasets
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
Vladimir Braverman, Rafail Ostrovsky
NN
2000
Springer
177views Neural Networks» more  NN 2000»
14 years 11 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
WSC
2007
15 years 2 months ago
Simulation metamodels for modeling output distribution parameters
Metamodels are functions with calibrated parameters, used actions and simplifications of the simulation model. A metamodel exposes the system’s input-output relationship and ca...
Isabel R. Santos, Pedro R. Santos
JMIV
2010
85views more  JMIV 2010»
14 years 10 months ago
Statistical Tests of Anisotropy for Fractional Brownian Textures. Application to Full-field Digital Mammography
In this paper, we propose a new and generic methodology for the analysis of texture anisotropy. The methodology is based on the stochastic modeling of textures by anisotropic fract...
Frédéric J. P. Richard, Hermine Bier...