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» Clustering performance data efficiently at massive scales
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INFOCOM
2008
IEEE
15 years 7 months ago
Swarming on Optimized Graphs for n-Way Broadcast
—In an n-way broadcast application each one of n overlay nodes wants to push its own distinct large data file to all other n-1 destinations as well as download their respective ...
Georgios Smaragdakis, Azer Bestavros, Nikolaos Lao...
118
Voted
TPDS
2010
109views more  TPDS 2010»
14 years 11 months ago
Distributed Network Formation for n-Way Broadcast Applications
—In an n-way broadcast application, each one of n overlay nodes wants to push its own distinct large data file to all other n À 1 destinations as well as download their respecti...
Georgios Smaragdakis, Nikolaos Laoutaris, Pietro M...
99
Voted
BMCBI
2006
107views more  BMCBI 2006»
15 years 20 days ago
CROPPER: a metagene creator resource for cross-platform and cross-species compendium studies
Background: Current genomic research methods provide researchers with enormous amounts of data. Combining data from different high-throughput research technologies commonly availa...
Jussi Paananen, Markus Storvik, Garry Wong
87
Voted
BMCBI
2010
125views more  BMCBI 2010»
15 years 22 days ago
NeatMap - non-clustering heat map alternatives in R
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
Satwik Rajaram, Yoshi Oono
AAAI
2007
15 years 3 months ago
Detection of Multiple Deformable Objects using PCA-SIFT
In this paper, we address the problem of identifying and localizing multiple instances of highly deformable objects in real-time video data. We present an approach which uses PCA-...
Stefan Zickler, Alexei A. Efros