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CVPR
2005
IEEE
15 years 12 months ago
Semi-Supervised Adapted HMMs for Unusual Event Detection
We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the applica...
Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Iain...
EDBT
2004
ACM
110views Database» more  EDBT 2004»
15 years 10 months ago
Using Convolution to Mine Obscure Periodic Patterns in One Pass
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
BSN
2009
IEEE
141views Sensor Networks» more  BSN 2009»
15 years 4 months ago
Low-Complexity, High-Throughput Multiple-Access Wireless Protocol for Body Sensor Networks
Wireless systems that form a body-area network must be made small and low power without sacrificing performance. To achieve high-throughput communication in low-cost wireless bod...
Seung-mok Yoo, Chong-Jing Chen, Pai H. Chou
IPSN
2009
Springer
15 years 4 months ago
Predictive QoS routing to mobile sinks in wireless sensor networks
We present an algorithm for data delivery to mobile sinks in wireless sensor networks. Our algorithm is based on information potentials, which we extend to account for mobility. W...
Branislav Kusy, HyungJune Lee, Martin Wicke, Nikol...
PAKDD
2009
ACM
72views Data Mining» more  PAKDD 2009»
15 years 4 months ago
A Multi-resolution Approach for Atypical Behaviour Mining
Atypical behaviours are the basis of a valuable knowledge in domains related to security (e.g. fraud detection for credit card [1], cyber security [4] or safety of critical systems...
Alice Marascu, Florent Masseglia