325 search results - page 18 / 65 » Statistical Properties of Kernel Principal Component Analysi... |
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
Abstract. Finding point correspondences plays an important role in automatically building statistical shape models from a training set of 3D surfaces. For the point correspondence ...
TIP
2011
13 years 3 months ago
2011
—This paper introduces kernel versions of maximum autocorrelation factor (MAF) analysis and minimum noise fraction (MNF) analysis. The kernel versions are based upon a dual formu...
MICCAI
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Several sources of uncertainties in shape boundaries in medical images have motivated the use of probabilistic labeling approaches. Although it is well-known that the sam...
FGR
2000
IEEE
14 years 1 months ago
2000
IEEE
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...
BMVC
2002
13 years 11 months ago
2002
Recently, there have been several attempts at creating `video textures', that is, synthesising new (potentially infinitely long) video clips based on existing ones. One way t...