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ICML
2007
IEEE
16 years 1 months ago
Maximum margin clustering made practical
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Kai Zhang, Ivor W. Tsang, James T. Kwok
131
Voted
IPPS
2009
IEEE
15 years 7 months ago
Designing multi-leader-based Allgather algorithms for multi-core clusters
The increasing demand for computational cycles is being met by the use of multi-core processors. Having large number of cores per node necessitates multi-core aware designs to ext...
Krishna Chaitanya Kandalla, Hari Subramoni, Gopala...
94
Voted
ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
15 years 7 months ago
Clustering Events on Streams Using Complex Context Information
Monitoring applications play an increasingly important role in many domains. They detect events in monitored systems and take actions such as invoke a program or notify an adminis...
YongChul Kwon, Wing Yee Lee, Magdalena Balazinska,...
123
Voted
ISCC
2003
IEEE
119views Communications» more  ISCC 2003»
15 years 5 months ago
Optimization of Task Allocation in a Cluster-Based Sensor Network
Sensor networks have recently gained a lot of attention from the research community. Sensors are significantly resource-constrained devices and last till the depletion of their ba...
Mohamed F. Younis, Kemal Akkaya, Anugeetha Kunjith...
IPPS
2000
IEEE
15 years 4 months ago
FANTOMAS: Fault Tolerance for Mobile Agents in Clusters
Abstract. To achieve an efficient utilization of cluster systems, a proper programming and operating environment is required. In this context, mobile agents are of growing interes...
Holger Pals, Stefan Petri, Claus Grewe