189 search results - page 12 / 38 » Unsupervised Nonlinear Manifold Learning |
122
Voted
CVPR
2004
IEEE
16 years 4 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...
176
Voted
VLSISP
2010
15 years 23 days ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
132
Voted
ICASSP
2007
IEEE
15 years 8 months ago
2007
IEEE
A novel method for robust super-resolution offace images is proposed in this paper. Face super-resolution is a particular interest in video surveillance where face images have typ...
135
Voted
BMVC
2010
15 years 13 days ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...