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» Data Preservation in High Energy Physics - why, how and when
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HPDC
2006
IEEE
13 years 10 months ago
Filecules in High-Energy Physics: Characteristics and Impact on Resource Management
Grid computing has reached the stage where deployments are mature and many collaborations run in production mode. Mature Grid deployments offer the opportunity for revisiting and ...
Adriana Iamnitchi, Shyamala Doraimani, Gabriele Ga...
NN
2002
Springer
115views Neural Networks» more  NN 2002»
13 years 4 months ago
A self-organising network that grows when required
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow
CIDM
2007
IEEE
13 years 11 months ago
Privacy Preserving Burst Detection of Distributed Time Series Data Using Linear Transforms
— In this paper, we consider burst detection within the context of privacy. In our scenario, multiple parties want to detect a burst in aggregated time series data, but none of t...
Lisa Singh, Mehmet Sayal
ICC
2007
IEEE
190views Communications» more  ICC 2007»
13 years 11 months ago
Minimum Energy Data Gathering in Correlated Sensor Networks with Cooperative Transmission
— We consider combination of Distributed Source Coding (DSC) and cooperative transmission techniques to improve energy efficiency in sensor networks. To start with we formulate ...
Laxminarayana S. Pillutla, Vikram Krishnamurthy
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
14 years 4 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...