332 search results - page 17 / 67 » Learning with Local Drift Detection |
95
Voted
ICRA
2008
IEEE
15 years 6 months ago
2008
IEEE
— For a mobile robot it is critical to detect and compensate for slippage, especially when driving in rough terrain environments. Due to its highly unpredictable nature, drift la...
110
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INFOCOM
2008
IEEE
15 years 6 months ago
2008
IEEE
—Achieving secure time-synchronization in wireless sensor networks (WSNs) is a challenging, but very important problem that has not yet been addressed effectively. This paper pro...
139
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CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both norm...
120
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CVIU
2007
14 years 11 months ago
2007
The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial ex...
100
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ASPLOS
2010
ACM
15 years 6 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...