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» Detecting Anomalies in Graphs
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183
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CVPR
2009
IEEE
16 years 11 months ago
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
Richard Roberts (Georgia Institute of Technology),...
129
Voted
EDBTW
2010
Springer
15 years 10 months ago
Key escrow schemes with sliding window for privacy-aware anomaly detection system
Requirements for a traffic monitoring system can be very demanding as both privacy and performance aspects have to be taken into account jointly. Moreover, the legislation sets fo...
Esa Hyytiä, Ivan Gojmerac, Simone Teofili, Gi...
129
Voted
ICDM
2010
IEEE
166views Data Mining» more  ICDM 2010»
15 years 1 months ago
Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection
In this paper, we study probabilistic modeling of heterogeneously attributed multi-dimensional arrays. The model can manage the heterogeneity by employing an individual exponential...
Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibat...
121
Voted
ISSRE
2003
IEEE
15 years 9 months ago
Anomalies as Precursors of Field Failures
Reproducing and learning from failures in deployed software is costly and difficult. Those activities can be facilitated, however, if the circumstances leading to a failure are p...
Sebastian G. Elbaum, Satya Kanduri, Anneliese Amsc...
125
Voted
IWSOS
2007
Springer
15 years 9 months ago
Collaborative Anomaly-Based Attack Detection
Today networks suffer from various challenges like distributed denial of service attacks or worms. Multiple different anomaly-based detection systems try to detect and counter such...
Thomas Gamer, Michael Scharf, Marcus Schöller