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» Sparse Reconstruction Cost for Abnormal Event Detection
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CN
2007
133views more  CN 2007»
13 years 5 months ago
Automatic high-performance reconstruction and recovery
Self-protecting systems require the ability to instantaneously detect malicious activity at run-time and prevent execution. We argue that it is impossible to perfectly self-protec...
Ashvin Goel, Wu-chang Feng, Wu-chi Feng, David Mai...
CRV
2005
IEEE
272views Robotics» more  CRV 2005»
13 years 7 months ago
Real-Time Video Surveillance with Self-Organizing Maps
In this paper, we present an approach for video surveillance involving (a) moving object detection, (b) tracking and (c) normal/abnormal event recognition. The detection step uses...
Mohamed Dahmane, Jean Meunier
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 6 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...
PAMI
2011
13 years 6 days ago
Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos
—We show that, via temporal modulation, one can observe and capture a high-speed periodic video well beyond the abilities of a low-frame-rate camera. By strobing the exposure wit...
Ashok Veeraraghavan, Dikpal Reddy, Ramesh Raskar
ICDE
2007
IEEE
148views Database» more  ICDE 2007»
14 years 6 months ago
Efficient Detection of Distributed Constraint Violations
In many distributed environments, the primary function of monitoring software is to detect anomalies, that is, instances when system behavior deviates substantially from the norm....
Shipra Agrawal, Supratim Deb, K. V. M. Naidu, Raje...