23 search results - page 3 / 5 » Unsupervised Learning in Spectral Genome Analysis |
SDM
2007
SIAM
13 years 7 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...
BMVC
2010
13 years 4 months ago
2010
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
AAAI
2010
13 years 7 months ago
2010
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
APBC
2004
13 years 7 months ago
2004
Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments. The resulti...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
This paper addresses the problem of learning similaritypreserving binary codes for efficient retrieval in large-scale image collections. We propose a simple and efficient altern...