521 search results - page 22 / 105 » Sparse probabilistic classifiers |
IIS
2000
13 years 9 months ago
2000
Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membershi...
PKDD
2004
Springer
14 years 27 days ago
2004
Springer
Spam filtering is a text categorization task that has attracted significant attention due to the increasingly huge amounts of junk email on the Internet. While current best-pract...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
JVCIR
2010
13 years 6 months ago
2010
We propose a probabilistic graphical model to represent weakly annotated images1 . This model is used to classify images and automatically extend existing annotations to new image...
CISS
2010
IEEE
12 years 11 months ago
2010
IEEE
—This paper considers the reconstruction of structured-sparse signals from noisy linear observations. In particular, the support of the signal coefficients is parameterized by h...