206 search results - page 25 / 42 » PCA in Autocorrelation Space |
CAIP
1997
Springer
13 years 11 months ago
1997
Springer
Abstract. In this paper a new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is...
JCP
2008
13 years 7 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
This paper presents a new method for the recognition and reconstruction of surfaces from 3D data. Line element geometry, which generalizes both line geometry and the Laguerre geom...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...