877 search results - page 14 / 176 » Classifier learning with a new locality regularization metho... |
ICDM
2009
IEEE
13 years 4 months ago
2009
IEEE
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
CVPR
2005
IEEE
14 years 8 months ago
2005
IEEE
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
JCIT
2010
13 years 1 months ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
ICIP
2010
IEEE
13 years 4 months ago
2010
IEEE
This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...
CIDM
2009
IEEE
14 years 1 months ago
2009
IEEE
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...