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SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 24 days ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
ECSA
2011
Springer
13 years 9 months ago
Architecture-Based Run-Time Fault Diagnosis
Abstract. An important step in achieving robustness to run-time faults is the ability to detect and repair problems when they arise in a running system. Effective fault detection a...
Paulo Casanova, Bradley R. Schmerl, David Garlan, ...
INFOCOM
2012
IEEE
13 years 13 days ago
LBA: Lifetime balanced data aggregation in low duty cycle sensor networks
—This paper proposes LBA, a lifetime balanced data aggregation scheme for asynchronous and duty cycle sensor networks under an application-specific requirement of end-to-end dat...
Zi Li, Yang Peng, Daji Qiao, Wensheng Zhang
CVPR
2012
IEEE
13 years 12 days ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
EDBT
2012
ACM
266views Database» more  EDBT 2012»
13 years 11 days ago
Stormy: an elastic and highly available streaming service in the cloud
In recent years, new highly scalable storage systems have significantly contributed to the success of Cloud Computing. Systems like Dynamo or Bigtable have underpinned their abil...
Simon Loesing, Martin Hentschel, Tim Kraska, Donal...
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