294 search results - page 7 / 59 » Spectral feature selection for supervised and unsupervised l... |
IJCAI
2003
13 years 9 months ago
2003
We present a simple, easily implemented spectral learning algorithm which applies equally whether we have no supervisory information, pairwise link constraints, or labeled example...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We introduce a framework for filtering features that employs the Hilbert-Schmidt Independence Criterion (HSIC) as a measure of dependence between the features and the labels. The ...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We present an unsupervised method for learning a hierarchy of sparse feature detectors that are invariant to small shifts and distortions. The resulting feature extractor consists...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Feature selection plays a fundamental role in many pattern
recognition problems. However, most efforts have been
focused on the supervised scenario, while unsupervised feature
s...