510 search results - page 20 / 102 » Sparse probabilistic projections |
ICIP
2009
IEEE
13 years 5 months ago
2009
IEEE
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
IEEECGIV
2009
IEEE
14 years 2 months ago
2009
IEEE
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
ICPR
2010
IEEE
14 years 9 days ago
2010
IEEE
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
GBRPR
2009
Springer
14 years 2 months ago
2009
Springer
In this paper we propose an inexact spectral matching algorithm that embeds large graphs on a low-dimensional isometric space spanned by a set of eigenvectors of the graph Laplacia...
ICDAR
2007
IEEE
14 years 1 months ago
2007
IEEE
Using a lexicon can often improve character recognition under challenging conditions, such as poor image quality or unusual fonts. We propose a flexible probabilistic model for c...