10 search results - page 1 / 2 » Non-linear CCA and PCA by Alignment of Local Models |
NIPS
2003
13 years 9 months ago
2003
We propose a non-linear Canonical Correlation Analysis (CCA) method which works by coordinating or aligning mixtures of linear models. In the same way that CCA extends the idea of...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract—Learning dynamical systems is one of the important problems in many fields. In this paper, we present an algorithm for learning non-linear dynamical systems which works...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
This paper presents and compares 3 methods for the statistical localization of partially occulted landmarks. In many real applications, some information is visible in images and s...
ICIP
2005
IEEE
14 years 1 months ago
2005
IEEE
We propose a robust face alignment algorithm with a novel discriminative local texture model. Different from the conventional descriptive PCA local texture model in ASM, classifie...
SMI
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper we present a new method for alignment of 3D models. This approach is based on symmetry properties, and uses the fact that the principal components analysis (PCA) hav...