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162
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PVLDB
2008
182views more  PVLDB 2008»
15 years 3 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
372
Voted

Publication
1500views
17 years 4 months ago
Robust Centerline Extraction Framework Using Level Sets
In this paper, we present a novel framework for computing centerlines for both 2D and 3D shape analysis. The framework works as follows: an object centerline point is selected aut...
M. Sabry Hassouna, Aly A. Farag
447
Voted

Presentation
3660views
17 years 4 months ago
Robust Centerline Extraction Framework Using Level Sets
In this paper, we present a novel framework for computing centerlines for both 2D and 3D shape analysis. The framework works as follows: an object centerline point is selected auto...
M. Sabry Hassouna
155
Voted
AIME
2007
Springer
15 years 9 months ago
An Intelligent Aide for Interpreting a Patient's Dialysis Data Set
Many machines used in the modern hospital settings offer real time physiological monitoring. Haemodialysis machines combine a therapeutic treatment system integrated with sophistic...
Derek H. Sleeman, Nick Fluck, Elias Gyftodimos, La...
145
Voted
SIGMOD
2002
ACM
134views Database» more  SIGMOD 2002»
16 years 3 months ago
Wavelet synopses with error guarantees
Recent work has demonstrated the effectiveness of the wavelet decomposition in reducing large amounts of data to compact sets of wavelet coefficients (termed "wavelet synopse...
Minos N. Garofalakis, Phillip B. Gibbons