2167 search results - page 136 / 434 » Learning with Drift Detection |
ICRA
2002
IEEE
15 years 3 months ago
2002
IEEE
Abstract— For mobile robots, as well as other learning systems, the ability to highlight unexpected features of their environment – novelty detection – is very useful. One pa...
ESANN
2007
14 years 11 months ago
2007
Discovering interdependencies and causal relationships is one of the most relevant challenges raised by the information era. As more and better data become available, there is an u...
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ACCV
2010
Springer
14 years 5 months ago
2010
Springer
Pedestrian detection is an important application in computer vision. Currently, most pedestrian detection methods focus on learning one or multiple fixed models. These algorithms r...
ICCV
2009
IEEE
16 years 3 months ago
2009
IEEE
Skeletonization algorithms typically decompose an object’s
silhouette into a set of symmetric parts, offering a
powerful representation for shape categorization. However,
havi...
CVPR
2005
IEEE
16 years 1 days ago
2005
IEEE
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...