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TIP
2008
169views more  TIP 2008»
14 years 11 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
DEDS
2002
119views more  DEDS 2002»
14 years 11 months ago
Diagnosing Discrete-Event Systems: Extending the "Diagnoser Approach" to Deal with Telecommunication Networks
Abstract. Detection and isolation of failures in large and complex systems such as telecommunication networks are crucial and challenging tasks. The problem considered here is that...
Laurence Rozé, Marie-Odile Cordier
IPSN
2007
Springer
15 years 5 months ago
Lucid dreaming: reliable analog event detection for energy-constrained applications
— Existing sensor network architectures are based on the assumption that data will be polled. Therefore, they are not adequate for long-term battery-powered use in applications t...
Sasha Jevtic, Mathew Kotowsky, Robert P. Dick, Pet...
KDD
2012
ACM
263views Data Mining» more  KDD 2012»
13 years 2 months ago
Integrating community matching and outlier detection for mining evolutionary community outliers
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...
Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han
ICIP
2010
IEEE
14 years 9 months ago
Video anomaly detection in spatiotemporal context
Compared to other approaches that analyze object trajectories, we propose to detect anomalous video events at three levels considering spatiotemporal context of video objects, i.e...
Fan Jiang, Junsong Yuan, Sotirios A. Tsaftaris, Ag...