278 search results - page 14 / 56 » Strong Separation of Learning Classes |
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper, we investigate linear discriminant analysis (LDA) methods for multiclass classification problems in hyperspectral imaging. We note that LDA does not consider pairwi...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
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Voted
ALT
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Learning from streams is a process in which a group of learners separately obtain information about the target to be learned, but they can communicate with each other in ...
COLT
2006
Springer
15 years 1 months ago
2006
Springer
Given a finite set of words w1, . . . , wn independently drawn according to a fixed unknown distribution law P called a stochastic language, an usual goal in Grammatical Inference ...