2167 search results - page 29 / 434 » Learning with Drift Detection |
IDEAL
2005
Springer
15 years 3 months ago
2005
Springer
Novelty detection involves identifying novel patterns. They are not usually available during training. Even if they are, the data quantity imbalance leads to a low classification ...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
ICPR
2010
IEEE
15 years 3 months ago
2010
IEEE
Abstract—The classification of sequences requires the combination of information from different time points. In this paper the detection of facial expressions is considered. Exp...
80
Voted
ICRA
2008
IEEE
15 years 4 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...
93
Voted
INFOCOM
2008
IEEE
15 years 4 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...