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» Application of Level Set Methods in Computer Vision
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KDD
2001
ACM
253views Data Mining» more  KDD 2001»
16 years 7 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
SBACPAD
2004
IEEE
93views Hardware» more  SBACPAD 2004»
15 years 8 months ago
FlowCert : Probabilistic Certification for Peer-to-Peer Computations
Large scale cluster, Peer-to-Peer computing systems and grid computer systems gather thousands of nodes for computing parallel applications. At this scale, it raises the problem o...
Sébastien Varrette, Jean-Louis Roch, Franck...
NOSSDAV
2004
Springer
16 years 14 days ago
Managing a portfolio of overlay paths
In recent years, several architectures have been proposed and developed for supporting streaming applications that take advantage of multiple paths through the network simultaneou...
Daria Antonova, Arvind Krishnamurthy, Zheng Ma, Ra...
FM
2009
Springer
138views Formal Methods» more  FM 2009»
16 years 1 months ago
What Can Formal Methods Bring to Systems Biology?
This position paper argues that the operational modelling approaches from the formal methods community can be applied fruitfully within the systems biology domain. The results can ...
Nicola Bonzanni, K. Anton Feenstra, Wan Fokkink, E...
ICCV
2005
IEEE
16 years 9 months ago
Geometric Context from a Single Image
Many computer vision algorithms limit their performance by ignoring the underlying 3D geometric structure in the image. We show that we can estimate the coarse geometric propertie...
Derek Hoiem, Alexei A. Efros, Martial Hebert