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» The SDVM - An Approach for Future Adaptive Computer Clusters
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2009
ACM
14 years 3 months ago
Scalable computing with parallel tasks
Recent and future parallel clusters and supercomputers use SMPs and multi-core processors as basic nodes, providing a huge amount of parallel resources. These systems often have h...
Jörg Dümmler, Thomas Rauber, Gudula R&uu...
AINA
2008
IEEE
13 years 10 months ago
A Communication-Efficient Distributed Clustering Algorithm for Sensor Networks
Sensor networks usually generate continuous stream of data over time. Clustering sensor data as a core task of mining sensor data plays an essential role in analytical application...
Amirhosein Taherkordi, Reza Mohammadi, Frank Elias...
EMMCVPR
2007
Springer
14 years 3 months ago
Bayesian Order-Adaptive Clustering for Video Segmentation
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann
ICMCS
2007
IEEE
103views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Multimedia Adaptive Computer based Testing: An Overview
Instead of computer games, animations, cartoons, and videos being used only for entertainment by kids, there is now an interest in using multimedia for “innovative testing.” R...
Anup Basu, Irene Cheng, Mun Prasad, Gautam Rao
JMLR
2002
111views more  JMLR 2002»
13 years 8 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman