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ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
14 years 10 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu
ECRTS
2004
IEEE
15 years 4 months ago
Schedulability-Driven Partitioning and Mapping for Multi-Cluster Real-Time Systems
We present an approach to partitioning and mapping for multicluster embedded systems consisting of time-triggered and eventtriggered clusters, interconnected via gateways. We have...
Paul Pop, Petru Eles, Zebo Peng, Viacheslav Izosim...
CLUSTER
2004
IEEE
15 years 4 months ago
An efficient end-host architecture for cluster communication
Cluster computing environments built from commodity hardware have provided a cost-effective solution for many scientific and high-performance applications. Likewise, middleware te...
Xin Qi, Gabriel Parmer, Richard West
DAC
2002
ACM
16 years 1 months ago
Dynamic and leakage power reduction in MTCMOS circuits using an automated efficient gate clustering technique
Reducing power dissipation is one of the most principle subjects in VLSI design today. Scaling causes subthreshold leakage currents to become a large component of total power diss...
Mohab Anis, Mohamed Mahmoud, Mohamed I. Elmasry, S...
101
Voted
EDBT
2008
ACM
146views Database» more  EDBT 2008»
16 years 20 days ago
Attribute selection in multivariate microaggregation
Microaggregation is one of the most employed microdata protection methods. The idea is to build clusters of at least k original records, and then replace them with the centroid of...
Javier Herranz, Jordi Nin, Vicenç Torra