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» Aggregation methods for large-scale sensor networks
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CORR
2010
Springer
102views Education» more  CORR 2010»
13 years 5 months ago
Detecting Weak but Hierarchically-Structured Patterns in Networks
The ability to detect weak distributed activation patterns in networks is critical to several applications, such as identifying the onset of anomalous activity or incipient conges...
Aarti Singh, Robert D. Nowak, A. Robert Calderbank
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
11 years 7 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
EMMCVPR
2003
Springer
13 years 10 months ago
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that...
Doron Blatt, Alfred O. Hero
DIALM
2007
ACM
178views Algorithms» more  DIALM 2007»
13 years 9 months ago
Near-Optimal Compression of Probabilistic Counting Sketches for Networking Applications
Sketches--data structures for probabilistic, duplicate insensitive counting--are central building blocks of a number of recently proposed network protocols, for example in the con...
Björn Scheuermann, Martin Mauve