Sciweavers

63 search results - page 4 / 13
» Principal component analysis in decomposable Gaussian graphi...
Sort
View
ICCV
2005
IEEE
15 years 11 months ago
Probabilistic Contour Extraction Using Hierarchical Shape Representation
In this paper, we address the issue of extracting contour of the object with a specific shape. A hierarchical graphical model is proposed to represent shape variations. A complex ...
Xin Fan, Chun Qi, Dequn Liang, Hua Huang
ICML
2006
IEEE
15 years 10 months ago
Robust probabilistic projections
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
Cédric Archambeau, Michel Verleysen, Nicola...
GRAPHICSINTERFACE
2003
14 years 11 months ago
Silhouette-Based 3D Face Shape Recovery
The creation of realistic 3D face models is still a fundamental problem in computer graphics. In this paper we present a novel method to obtain the 3D shape of an arbitrary human ...
Jinho Lee, Baback Moghaddam, Hanspeter Pfister, Ra...
NCA
2007
IEEE
14 years 9 months ago
Handling of incomplete data sets using ICA and SOM in data mining
Based on independent component analysis (ICA) and self-organizing maps (SOM), this paper proposes an ISOM-DH model for the incomplete data’s handling in data mining. Under these ...
Hongyi Peng, Siming Zhu
NIPS
2003
14 years 10 months ago
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
Neil D. Lawrence