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» Making Distributed Applications Robust
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118
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TREC
2003
15 years 3 months ago
Fondazione Ugo Bordoni at TREC 2003: Robust and Web Track
Our participation in TREC 2003 aims to adapt the use of the DFR (Divergence From Randomness) models with Query Expansion (QE) to the robust track and the topic distillation task o...
Giambattista Amati, Claudio Carpineto, Giovanni Ro...
117
Voted
SOSP
2003
ACM
15 years 11 months ago
SplitStream: high-bandwidth multicast in cooperative environments
In tree-based multicast systems, a relatively small number of interior nodes carry the load of forwarding multicast messages. This works well when the interior nodes are highlyava...
Miguel Castro, Peter Druschel, Anne-Marie Kermarre...
KDD
2002
ACM
113views Data Mining» more  KDD 2002»
16 years 2 months ago
Scalable robust covariance and correlation estimates for data mining
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Ma...
134
Voted
BMCBI
2007
123views more  BMCBI 2007»
15 years 2 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
168
Voted
TASE
2010
IEEE
14 years 9 months ago
Robust Calibration for Localization in Clustered Wireless Sensor Networks
This paper presents a robust calibration procedure for clustered wireless sensor networks. Accurate calibration of between-node distances is one crucial step in localizing sensor n...
Jung Jin Cho, Yu Ding, Yong Chen, Jiong Tang