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» On detecting space-time clusters
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PAMI
2006
193views more  PAMI 2006»
14 years 10 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
15 years 3 months ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
RECSYS
2009
ACM
15 years 2 months ago
Effective diverse and obfuscated attacks on model-based recommender systems
Robustness analysis research has shown that conventional memory-based recommender systems are very susceptible to malicious profile-injection attacks. A number of attack models h...
Zunping Cheng, Neil Hurley
SIGIR
2010
ACM
15 years 1 months ago
Where to start filtering redundancy?: a cluster-based approach
Novelty detection is a difficult task, particularly at sentence level. Most of the approaches proposed in the past consist of re-ordering all sentences following their novelty sco...
Ronald T. Fernández, Javier Parapar, David ...
BMCBI
2010
171views more  BMCBI 2010»
14 years 10 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...