1083 search results - page 45 / 217 » Robust principal component analysis |
ICIP
2000
IEEE
14 years 9 months ago
2000
IEEE
In this paper, we introduce a method for estimating the statistically distinct neural responses in an sequence of functional magnetic resonance images (fMRI). The crux of our meth...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
DEBU
2008
13 years 7 months ago
2008
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black's influential paper on EigenTracking, they were successfully appl...
MICCAI
2003
Springer
14 years 8 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 ...