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» Anomaly Detection Using Process Mining
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ICMI
2007
Springer
215views Biometrics» more  ICMI 2007»
14 years 3 months ago
Visual inference of human emotion and behaviour
We address the problem of automatic interpretation of nonexaggerated human facial and body behaviours captured in video. We illustrate our approach by three examples. (1) We intro...
Shaogang Gong, Caifeng Shan, Tao Xiang
ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
13 years 8 months ago
On optimal AUV track-spacing for underwater mine detection
— This work addresses the task of designing the optimal survey route that an autonomous underwater vehicle (AUV) should take in mine countermeasures (MCM) operations. It is assum...
David P. Williams
DATE
2009
IEEE
151views Hardware» more  DATE 2009»
14 years 4 months ago
pTest: An adaptive testing tool for concurrent software on embedded multicore processors
—More and more processor manufacturers have launched embedded multicore processors for consumer electronics products because such processors provide high performance and low powe...
Shou-Wei Chang, Kun-Yuan Hsieh, Jenq Kuen Lee
CVPR
2005
IEEE
14 years 11 months ago
Detection and Explanation of Anomalous Activities: Representing Activities as Bags of Event n-Grams
We present a novel representation and method for detecting and explaining anomalous activities in a video stream. Drawing from natural language processing, we introduce a represen...
Raffay Hamid, Amos Y. Johnson, Samir Batta, Aaron ...
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 11 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...