543 search results - page 16 / 109 » Nonlinear principal component analysis of noisy data |
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper, Principal Component Analysis (PCA) is applied to the problem of Online Handwritten Character Recognition in the Tamil script. The input is a temporally ordered sequ...
IJHPCA
2008
13 years 7 months ago
2008
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divis...
ICML
2003
IEEE
14 years 8 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 ...
JMLR
2010
13 years 2 months ago
2010
We present an extension of sparse PCA, or sparse dictionary learning, where the sparsity patterns of all dictionary elements are structured and constrained to belong to a prespeci...