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» Detecting Anomalies in Graphs
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SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 7 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
HICSS
2008
IEEE
90views Biometrics» more  HICSS 2008»
15 years 11 months ago
Power System Extreme Event Detection: The Vulnerability Frontier
In this work we apply graph theoretic tools to provide a close bound on a frontier relating the number of line outages in a grid to the power disrupted by the outages. This fronti...
Bernard C. Lesieutre, Ali Pinar, Sandip Roy
ACL
2009
15 years 2 months ago
Detecting Compositionality in Multi-Word Expressions
Identifying whether a multi-word expression (MWE) is compositional or not is important for numerous NLP applications. Sense induction can partition the context of MWEs into semant...
Ioannis Korkontzelos, Suresh Manandhar
CLEAR
2006
Springer
133views Biometrics» more  CLEAR 2006»
15 years 8 months ago
Multi-feature Graph-Based Object Tracking
We present an object detection and tracking algorithm that addresses the problem of multiple simultaneous targets tracking in realworld surveillance scenarios. The algorithm is bas...
Murtaza Taj, Emilio Maggio, Andrea Cavallaro
IWOMP
2009
Springer
15 years 11 months ago
Evaluating OpenMP 3.0 Run Time Systems on Unbalanced Task Graphs
The UTS benchmark is used to evaluate task parallelism in OpenMP 3.0 as implemented in a number of recently released compilers and run-time systems. UTS performs parallel search of...
Stephen Olivier, Jan Prins