122 search results - page 8 / 25 » Scalable and Interpretable Data Representation for High-Dime... |
103
Voted
BMCBI
2010
14 years 10 months ago
2010
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
CCGRID
2009
IEEE
15 years 5 months ago
2009
IEEE
Highly distributed systems such as Grids are used today to the execution of large-scale parallel applications. The behavior analysis of these applications is not trivial. The comp...
PAMI
1998
14 years 10 months ago
1998
A new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is to rst extract a low-d...
SEMWEB
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. Increasingly huge RDF data sets are being published on the Web. Currently, they use different syntaxes of RDF, contain high levels of redundancy and have a plain indivisi...
SIBGRAPI
2006
IEEE
15 years 4 months ago
2006
IEEE
Statistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population u...