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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 6 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
CORR
2010
Springer
437views Education» more  CORR 2010»
15 years 1 months ago
A Distributed Cluster Scheme For Bandwidth Management In Multi-hop MANETs
Electronic collaboration among devices in a geographically localized environment is made possible with the implementation of IEEE 802.11 based wireless ad hoc networks. Dynamic na...
Binod Kumar Pattanayak, Alok Kumar Jagadev, Manoj ...
HT
2005
ACM
15 years 10 months ago
Distributed, real-time computation of community preferences
We describe the integration of smart digital objects with Hebbian learning to create a distributed, real-time, scalable approach to adapting to a community's preferences. We ...
Thomas Lutkenhouse, Michael L. Nelson, Johan Bolle...
DSRT
2008
IEEE
15 years 6 months ago
Evaluating Large Scale Distributed Simulation of P2P Networks
P2P systems have witnessed phenomenal development in recent years. Evaluating and analyzing new and existing algorithms and techniques is a key issue for developers of P2P systems...
Tien Tuan Anh Dinh, Georgios K. Theodoropoulos, Ro...
DOA
2001
137views more  DOA 2001»
15 years 5 months ago
Supporting Distributed Processing of Time-Based Media Streams
There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include content analysis under uncertainty (evidence of ...
Viktor S. Wold Eide, Frank Eliassen, Olav Lysne