59 search results - page 4 / 12 » Compressive Principal Component Pursuit |
ICPR
2002
IEEE
15 years 10 months ago
2002
IEEE
Manifold Pursuit (MP) extends Principal Component Analysis to be invariant to a desired group of image-plane transformations of an ensemble of un-aligned images. We derive a simpl...
94
Voted
AIPR
2002
IEEE
15 years 2 months ago
2002
IEEE
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
In this work we present an efficient coding scheme suitable for lossy image compression using a lattice vector quantizer (LVQ) based on statistically independent data projections...
CORR
2010
Springer
14 years 8 months ago
2010
Springer
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
74
Voted
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
In this paper we introduce a new watermarking model combining a joint time frequency (TF) representation using the molecular matching pursuit (MMP) algorithm and a psychoacoustic ...