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» Accelerated EM-based clustering of large data sets
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IEEEVAST
2010
13 years 2 months ago
Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological opera
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott Trager...
IJCNN
2008
IEEE
14 years 2 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
PUC
2007
109views more  PUC 2007»
13 years 7 months ago
Recognizing context for annotating a live life recording
Abstract In the near future, it will be possible to continuously record and store the entire audio–visual lifetime of a person together with all digital information that the pers...
Nicky Kern, Bernt Schiele, Albrecht Schmidt
CCGRID
2006
IEEE
14 years 2 months ago
Large Scale Distributed Simulation on the Grid
The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locatio...
Georgios K. Theodoropoulos, Yi Zhang, Dan Chen, Ro...
IISWC
2006
IEEE
14 years 2 months ago
MineBench: A Benchmark Suite for Data Mining Workloads
Abstract— Data mining constitutes an important class of scientific and commercial applications. Recent advances in data extraction techniques have created vast data sets, which ...
Ramanathan Narayanan, Berkin Özisikyilmaz, Jo...