502 search results - page 69 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
ICCV
2007
IEEE
14 years 3 months ago
2007
IEEE
The endovascular repair of a traumatic rupture of the thoracic aorta - that would otherwise lead to the death of the patient - is performed by delivering a stent-graft into the ve...
JMM2
2008
13 years 8 months ago
2008
Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms name...
BMCBI
2006
13 years 8 months ago
2006
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
The ability to automatically detect `visually interesting' regions in an image has many practical applications especially in the design of active machine vision systems. This...
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...