325 search results - page 39 / 65 » Statistical Properties of Kernel Principal Component Analysi... |
VMV
2004
13 years 10 months ago
2004
Statistical shape modeling using point distribution models (PDMs) has been studied extensively for segmentation and other image analysis tasks. Methods investigated in the literat...
ICCV
1995
IEEE
14 years 7 days ago
1995
IEEE
A general-purpose object indexingtechnique is described that combines the virtues of principal component analysis with the favorable matching properties of high-dimensional spaces...
ADC
2004
Springer
14 years 2 months ago
2004
Springer
XML is becoming the dominant standard for representing and exchanging data on the World Wide Web. The ability to transform and present data in XML is crucial and XSLT (Extensible ...
ICCV
2007
IEEE
14 years 3 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
ICIP
2001
IEEE
14 years 10 months ago
2001
IEEE
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...