212 search results - page 10 / 43 » Embedded Unsupervised Feature Selection |
TAL
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
PAMI
2007
13 years 9 months ago
2007
—A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one ...
DAS
2010
Springer
13 years 8 months ago
2010
Springer
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
MVA
2010
13 years 8 months ago
2010
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
SDM
2007
SIAM
13 years 11 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...