332 search results - page 26 / 67 » Learning with Local Drift Detection |
112
Voted
ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
An anytime algorithm is capable of returning a response to the given task at essentially any time; typically the quality of the response improves as the time increases. Here, we c...
134
Voted
ECCV
2004
Springer
16 years 3 months ago
2004
Springer
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
144
Voted
CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
We present an object class detection approach which fully integrates the complementary strengths offered by shape matchers. Like an object detector, it can learn class models dire...
118
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ICRA
1999
IEEE
15 years 6 months ago
1999
IEEE
Abstract-- We present an approach to vision-based mobile robot localization, even without an a-priori pose estimate. This is accomplished by learning a set of visual features calle...
118
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CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...