540 search results - page 17 / 108 » Dimensionality Reduction for Data in Multiple Feature Repres... |
IRI
2007
IEEE
14 years 1 months ago
2007
IEEE
Many applications require analyzing vast amounts of textual data, but the size and inherent noise of such data can make processing very challenging. One approach to these issues i...
SDM
2010
SIAM
13 years 8 months ago
2010
SIAM
Methods for directly estimating the ratio of two probability density functions without going through density estimation have been actively explored recently since they can be used...
AAAI
2010
13 years 4 months ago
2010
Multi-instance learning, as other machine learning tasks, also suffers from the curse of dimensionality. Although dimensionality reduction methods have been investigated for many ...
IFIP12
2009
13 years 4 months ago
2009
Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (songs, pictures, web links, products etc.). Social tagging...
SIGMOD
2001
ACM
14 years 6 months ago
2001
ACM
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....