521 search results - page 7 / 105 » Sparse probabilistic classifiers |
ECCV
2010
Springer
13 years 12 months ago
2010
Springer
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
IPMI
2011
Springer
12 years 11 months ago
2011
Springer
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
PRL
2006
13 years 7 months ago
2006
Existing evaluations measures are insufficient when probabilistic classifiers are used for choosing objects to be included in a limited quota. This paper reviews performance measu...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
SIGIR
2002
ACM
13 years 7 months ago
2002
ACM
The intuition that different text classifiers behave in qualitatively different ways has long motivated attempts to build a better metaclassifier via some combination of classifie...