294 search results - page 3 / 59 » Spectral feature selection for supervised and unsupervised l... |
ICIP
2003
IEEE
14 years 7 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
TIT
2008
13 years 5 months ago
2008
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
FUZZIEEE
2007
IEEE
13 years 12 months ago
2007
IEEE
— This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization. The logical approaches include theoretical, supervised learning, feat...
NIPS
2007
13 years 7 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
ACL
2011
2011
Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning
12 years 9 months ago
