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RTCSA
2003
IEEE
15 years 6 months ago
An Approximation Algorithm for Broadcast Scheduling in Heterogeneous Clusters
Network of workstation (NOW) is a cost-effective alternative to massively parallel supercomputers. As commercially available off-theshelf processors become cheaper and faster, it...
Pangfeng Liu, Da-Wei Wang, Yi-Heng Guo
108
Voted
CIKM
2010
Springer
14 years 11 months ago
Multi-view clustering with constraint propagation for learning with an incomplete mapping between views
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
Eric Eaton, Marie desJardins, Sara Jacob
119
Voted
IEEEVAST
2010
14 years 7 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...
93
Voted
ILP
2003
Springer
15 years 6 months ago
Disjunctive Learning with a Soft-Clustering Method
In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, a disjunctive descripti...
Guillaume Cleuziou, Lionel Martin, Christel Vrain
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
15 years 27 days ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo