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TVCG
1998
125views more  TVCG 1998»
13 years 8 months ago
Structure-Significant Representation of Structured Datasets
—Numerical simulation of physical phenomena is now an accepted way of scientific inquiry. However, the field is still evolving, with a profusion of new solution and grid-generati...
Raghu Machiraju, Zhifan Zhu, Bryan Fry, Robert J. ...
ICDCN
2009
Springer
13 years 6 months ago
Large-Scale Networked Systems: From Anarchy to Geometric Self-structuring
Abstract. We define geometric self-structuring in a large-scale networked system as the ability of the participating nodes to collaboratively impose a geometric structure to the ne...
Anne-Marie Kermarrec, Achour Mostéfaoui, Mi...
ICDCN
2011
Springer
12 years 12 months ago
A High-Level Framework for Distributed Processing of Large-Scale Graphs
Distributed processing of real-world graphs is challenging due to their size and the inherent irregular structure of graph computations. We present HIPG, a distributed framework th...
Elzbieta Krepska, Thilo Kielmann, Wan Fokkink, Hen...
ECCV
2004
Springer
14 years 10 months ago
Steering in Scale Space to Optimally Detect Image Structures
Detecting low-level image features such as edges and ridges with spatial filters is improved if the scale of the features are known a priori. Scale-space representations and wavele...
Jeffrey Ng, Anil A. Bharath
BILDMED
2008
122views Algorithms» more  BILDMED 2008»
13 years 10 months ago
A Comparison of Five Methods for Signal Intensity Standardization in MRI
A major problem in magnetic resonance imaging (MRI) is the lack of a pulse sequence dependent standardized intensity scale like the Hounsfield units in computed tomography. This af...
Jan-Philip Bergeest, Florian Jäger