462 search results - page 36 / 93 » Probabilistic Principal Component Analysis for Metabolomic D... |
MM
2004
ACM
14 years 2 months ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
IJON
2008
13 years 8 months ago
2008
In this paper we apply three different independent component analysis (ICA) methods, including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to gene exp...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
Vessel enhancement in volumetric data is a necessary prerequisite in various medical imaging applications with particular importance for automated nodule detection. Ideally, vesse...
CVPR
2004
IEEE
14 years 10 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...
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
ICA (Independent Component Analysis) is a new technique for analyzing multi-variant data. Lots of results are reported in the field of neurobiological data analysis such as EEG (...