93 search results - page 8 / 19 » Supervised probabilistic principal component analysis |
144
Voted
MICCAI
2010
Springer
15 years 2 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...
120
Voted
ECCV
2000
Springer
16 years 5 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
153
Voted
IFIP
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Task-structured probabilistic input/output automata (taskPIOAs) are concurrent probabilistic automata that, among other things, have been used to provide a formal framewo...
154
Voted
ICCV
2005
IEEE
16 years 5 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
134
Voted
ICPR
2000
IEEE
15 years 8 months ago
2000
IEEE
In this paper we introduce a new deformable model, called eigensnake, for segmentation of elongated structures in a probabilistic framework. Instead of snake attraction by speciï¬...