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» Spatiotemporal Novelty Detection Using Resonance Networks
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ISDA
2010
IEEE
13 years 4 months ago
Detecting anomalies in spatiotemporal data using genetic algorithms with fuzzy community membership
A genetic algorithm is combined with two variants of the modularity (Q) network analysis metric to examine a substantial amount fisheries catch data. The data set produces one of t...
Garnett Carl Wilson, Simon Harding, Orland Hoeber,...
EWSN
2008
Springer
14 years 6 months ago
Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...
ICDCS
2008
IEEE
14 years 1 months ago
Mobility-Assisted Spatiotemporal Detection in Wireless Sensor Networks
Wireless sensor networks (WSNs) deployed for missioncritical applications face the fundamental challenge of meeting stringent spatiotemporal performance requirements using nodes w...
Guoliang Xing, Jianping Wang, Ke Shen, Qingfeng Hu...
ECCV
2010
Springer
14 years 9 days ago
Local Occlusion Detection Under Deformations Using Topological Invariants
Occlusions provide critical cues about the 3D structure of man-made and natural scenes. We present a mathematical framework and algorithm to detect and localize occlusions in image...
ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Person Tracking in Smart Rooms using Dynamic Programming and Adaptive Subspace Learning
We present a robust vision system for single person tracking inside a smart room using multiple synchronized, calibrated, stationary cameras. The system consists of two main compo...
ZhenQiu Zhang, Gerasimos Potamianos, Stephen M. Ch...