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» Change Detection with Kalman Filter and CUSUM
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DIS
2006
Springer
13 years 5 months ago
Change Detection with Kalman Filter and CUSUM
Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...
Milton Severo, João Gama
IGARSS
2009
13 years 1 months ago
Potential Fire Detection based on Kalman-driven Change Detection
A new active fire event detection algorithm for data collected with the Spinning Enhanced Visible and Infrared Imager (SEVIRI) sensor, based on the extended Kalman filter, is intr...
Frans van den Bergh, Gustave Udahemuka, Barend J. ...
LCN
2006
IEEE
13 years 9 months ago
Enhanced Network-State Estimation using Change Detection
This paper presents the concept of change detection for filter-based network-state estimation. This could be useful in various contexts; two examples are network management and ad...
Erik Hartikainen, Svante Ekelin
ICPR
2008
IEEE
13 years 10 months ago
On-line novelty detection using the Kalman filter and extreme value theory
Novelty detection is concerned with identifying abnormal system behaviours and abrupt changes from one regime to another. This paper proposes an on-line (causal) novelty detection...
Hyoungjoo Lee, Stephen J. Roberts
CCE
2005
13 years 3 months ago
Monitoring process transitions by Kalman filtering and time-series segmentation
The analysis of historical process data of technological systems plays important role in process monitoring, modelling and control. Time-series segmentation algorithms are often u...
Balazs Feil, János Abonyi, Sandor Z. N&eacu...