294 search results - page 28 / 59 » Spectral feature selection for supervised and unsupervised l... |
ICAISC
2010
Springer
13 years 9 months ago
2010
Springer
Hotelling’s Canonical Correlation Analysis (CCA) works with two sets of related variables, also called views, and its goal is to find their linear projections with maximal mutual...
PSIVT
2009
Springer
14 years 2 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
BMCBI
2010
13 years 7 months ago
2010
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
EMNLP
2008
13 years 9 months ago
2008
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
HAIS
2010
Springer
13 years 5 months ago
2010
Springer
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...