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IJON
2010
139views more  IJON 2010»
13 years 7 months ago
Event monitoring via local motion abnormality detection in non-linear subspace
We present a computational approach to abnormal visual event detection, which is based on exploring and modeling local motion patterns in a non-linear subspace. We use motion vect...
Ioannis Tziakos, Andrea Cavallaro, Li-Qun Xu
SIGMETRICS
2008
ACM
111views Hardware» more  SIGMETRICS 2008»
13 years 9 months ago
Predicting the resource consumption of network intrusion detection systems
Abstract. When installing network intrusion detection systems (NIDSs), operators are faced with a large number of parameters and analysis options for tuning trade-offs between dete...
Holger Dreger, Anja Feldmann, Vern Paxson, Robin S...
LOCA
2009
Springer
14 years 3 months ago
Improving Location Fingerprinting through Motion Detection and Asynchronous Interval Labeling
Abstract. Wireless signal strength fingerprinting has become an increasingly popular technique for realizing indoor localization systems using existing WiFi infrastructures. Howev...
Philipp Bolliger, Kurt Partridge, Maurice Chu, Mar...
KDD
2005
ACM
193views Data Mining» more  KDD 2005»
14 years 9 months ago
An approach to spacecraft anomaly detection problem using kernel feature space
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
ICASSP
2008
IEEE
14 years 3 months ago
Subspace compressive detection for sparse signals
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Zhongmin Wang, Gonzalo R. Arce, Brian M. Sadler