37 search results - page 6 / 8 » Neighborhood Smoothing Embedding for Noisy Manifold Learning |
CVPR
2004
IEEE
14 years 11 months ago
2004
IEEE
In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as input, we recover its highresolution counterpart using...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We present a novel approach to non-rigid structure from motion (NRSFM) from an orthographic video sequence, based on a new interpretation of the problem. Existing approaches assum...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
Existing approaches to analyzing the asymptotics of graph Laplacians typically assume a well-behaved kernel function with smoothness assumptions. We remove the smoothness assumpti...