206 search results - page 14 / 42 » PCA in Autocorrelation Space |
169
Voted
ICIP
2008
IEEE
16 years 2 months ago
2008
IEEE
This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising. Image neighborhood vectors u...
76
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
In various application domains, including image recognition, it is natural to represent each example as a set of vectors. With a base kernel we can implicitly map these vectors to...
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
ICPR
2010
IEEE
15 years 7 months ago
2010
IEEE
We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
115
Voted
AAAI
2004
15 years 1 months ago
2004
Based on the probabilistic reformulation of principal component analysis (PCA), we consider the problem of determining the number of principal components as a model selection prob...