1051 search results - page 68 / 211 » An algorithm for the principal component analysis of large d... |
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
EGICE
2006
13 years 11 months ago
2006
System identification is an abductive task which is affected by several kinds of modeling assumptions and measurement errors. Therefore, instead of optimizing values of parameters ...
GECCO
2007
Springer
14 years 7 hour ago
2007
Springer
Studying metabolic fluxes is a crucial aspect of understanding biological phenotypes. However, it is often not possible to measure these fluxes directly. As an alternative, fluxom...
AUTOMATICA
2006
13 years 8 months ago
2006
It is known that many subspace algorithms give biased estimates for closed-loop data due to the existence of feedback. In this paper we present a new subspace identification metho...
CAIP
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Intestinal contractions are one of the main features for analyzing intestinal motility and detecting different gastrointestinal pathologies. In this paper we propose Eig...