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TNN
2010
127views Management» more  TNN 2010»
15 years 1 months ago
RAMOBoost: ranked minority oversampling in boosting
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
Sheng Chen, Haibo He, Edwardo A. Garcia
HPDC
2010
IEEE
15 years 7 months ago
Improving the Hadoop map/reduce framework to support concurrent appends through the BlobSeer BLOB management system
Hadoop is a reference software framework supporting the Map/Reduce programming model. It relies on the Hadoop Distributed File System (HDFS) as its primary storage system. Althoug...
Diana Moise, Gabriel Antoniu, Luc Bougé
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 7 months ago
Mobile call graphs: beyond power-law and lognormal distributions
We analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distr...
Mukund Seshadri, Sridhar Machiraju, Ashwin Sridhar...
ICRA
2009
IEEE
162views Robotics» more  ICRA 2009»
16 years 1 months ago
Distributed sensor analysis for fault detection in tightly-coupled multi-robot team tasks
— This paper presents a distributed version of our previous work, called SAFDetection, which is a sensor analysisbased fault detection approach that is used to monitor tightlycou...
Xingyan Li, Lynne E. Parker
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
16 years 1 months ago
Distributed maximum a posteriori estimation for multi-robot cooperative localization
— This paper presents a distributed Maximum A Posteriori (MAP) estimator for multi-robot Cooperative Localization (CL). As opposed to centralized MAP-based CL, the proposed algor...
Esha D. Nerurkar, Stergios I. Roumeliotis, Agostin...