462 search results - page 15 / 93 » Probabilistic Principal Component Analysis for Metabolomic D... |
ICPR
2004
IEEE
16 years 26 days 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
14 years 11 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...
111
Voted
ICCV
2011
IEEE
13 years 11 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...
109
Voted
JMLR
2010
14 years 6 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...
ICCV
2001
IEEE
16 years 1 months ago
2001
IEEE
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...