37 search results - page 2 / 8 » Neighborhood Smoothing Embedding for Noisy Manifold Learning |
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper, a discriminative manifold learning method for face recognition is proposed which achieved the discriminative embedding the high dimensional face data into a low dim...
IROS
2008
IEEE
13 years 11 months ago
2008
IEEE
— Human control of high degree-of-freedom robotic systems, e.g. anthropomorphic robot hands, is often difficult due to the overwhelming number of variables that need to be speci...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
We propose methods for outlier handling and noise reduction using weighted local linear smoothing for a set of noisy points sampled from a nonlinear manifold. The methods can be u...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...