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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 11 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
WOWMOM
2009
ACM
204views Multimedia» more  WOWMOM 2009»
15 years 11 months ago
ECTC: Energy effiCient topology control algorithm for wireless sensor networks
Sensor network which operates on battery are used to gather data in a variety of environments. The data collected by each node is communicated through the network to the sink, whi...
Nedal Ababneh, Anastasios Viglas, Houda Labiod, Na...
MSS
1999
IEEE
140views Hardware» more  MSS 1999»
15 years 11 months ago
Pursuit of a Scalable High Performance Multi-Petabyte Database
When the BaBar experiment at the Stanford Linear Accelerator Center starts in April 1999, it will generate approximately 200TB/year of data at a rate of 10MB/sec for 10 years. A m...
Andrew Hanushevsky, Marcia Nowark
GI
2009
Springer
15 years 10 months ago
Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation
: Large traffic network systems require handling huge amounts of data, often distributed over a large geographical region in space and time. Centralised processing is not then the ...
Lyudmila Mihaylova, Amadou Gning, Viktor Doychinov...
CORR
2006
Springer
120views Education» more  CORR 2006»
15 years 6 months ago
Improved Bounds and Schemes for the Declustering Problem
Abstract. The declustering problem is to allocate given data on parallel working storage devices in such a manner that typical requests find their data evenly distributed among the...
Benjamin Doerr, Nils Hebbinghaus, Sören Werth