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» Default Clustering from Sparse Data Sets
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PG
2003
IEEE
14 years 27 days ago
Adaptive Grouping and Subdivision for Simulating Hair Dynamics
We present a novel approach for adaptively grouping and subdividing hair using discrete level-of-detail (LOD) representations. The set of discrete LODs include hair strands, clust...
Kelly Ward, Ming C. Lin
CONEXT
2010
ACM
13 years 5 months ago
Profiling-By-Association: a resilient traffic profiling solution for the internet backbone
Profiling Internet backbone traffic is becoming an increasingly hard problem since users and applications are avoiding detection using traffic obfuscation and encryption. The key ...
Marios Iliofotou, Brian Gallagher, Tina Eliassi-Ra...
ICIP
2009
IEEE
14 years 8 months ago
Corner-based Background Segmentation Using Adaptive Resonance Theory
A correct video segmentation, namely the detection of moving objects within a scene plays a very important role in many application in safety, surveillance, trafic monitoring and ...
CCGRID
2006
IEEE
14 years 1 months ago
Towards Soft Real-Time Applications on Enterprise Desktop Grids
— Desktop grids use the idle cycles of desktop PC’s to provide huge computational power at low cost. However, because the underlying desktop computing resources are volatile, a...
Derrick Kondo, Bruno Kindarji, Gilles Fedak, Franc...
CEC
2005
IEEE
14 years 1 months ago
Clustering-based approach to identify solutions for the inference of regulatory networks
Abstract- In this paper we address the problem of finding valid solutions for the problem of inferring gene regulatory networks. Different approaches to directly infer the depende...
Christian Spieth, Felix Streichert, Nora Speer, An...