894 search results - page 12 / 179 » Learning to cluster using local neighborhood structure |
82
Voted
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
ESWA
2008
14 years 8 months ago
2008
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
105
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ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
82
Voted
ECCV
2010
Springer
15 years 28 days ago
2010
Springer
Cascading techniques are commonly used to speed-up the scan of an image for object detection. However, cascades of detectors are slow to train due to the high number of detectors a...
IAT
2007
IEEE
15 years 4 months ago
2007
IEEE
Coalition formation in social networks consisting of a graph of interdependent agents allows many choices of which task to select and with whom to partner in the social network. N...