28 search results - page 5 / 6 » Post-nonlinear Independent Component Analysis by Variational... |
FGR
2008
IEEE
13 years 11 months ago
2008
IEEE
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
ICA
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Correspondence algorithms typically struggle with shapes that display part-based variation. We present a probabilistic approach that matches shapes using independent part transfor...
CSDA
2007
13 years 4 months ago
2007
In blind source separation, there are M sources that produce sounds independently and continuously over time. These sounds are then recorded by m receivers. The sound recorded by ...
PAMI
2002
13 years 4 months ago
2002
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...