35 search results - page 2 / 7 » Fault Detection and Isolation with Robust Principal Componen... |
PROMAS
2005
Springer
14 years 2 months ago
2005
Springer
The paper presents a way to robustly command a system of systems as a single entity. Instead of modeling each component system in isolation and then manually crafting interaction p...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
MICCAI
2003
Springer
14 years 9 months ago
2003
Springer
Abstract. When developing statistical models of normal brain perfusion, two questions are of crucial interest: How well does an atlas describe normality and how sensitive is it at ...
SSDBM
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
ITC
1997
IEEE
14 years 22 days ago
1997
IEEE
Capacitive Leadframe testing is an effective approach for detecting faults in printed circuit boards. Capacitance measurements, however, are affected by mechanical variations duri...