502 search results - page 32 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
110
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CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
A fast algorithm, Accelerated Kernel Feature Analysis (AKFA), that discovers salient features evidenced in a sample of n unclassified patterns, is presented. Like earlier kernel-b...
RECOMB
2002
Springer
16 years 24 days ago
2002
Springer
Proteins are involved either directly or indirectly in all biological processes in living organisms. It is now widely accepted that conformational changes of proteins can critical...
115
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ECCV
2004
Springer
15 years 5 months ago
2004
Springer
Diffusion tensor magnetic resonance imaging (DT-MRI) is emerging as an important tool in medical image analysis of the brain. However, relatively little work has been done on produ...
121
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AIPR
2002
IEEE
15 years 5 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 ...
118
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WSCG
2004
15 years 1 months ago
2004
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...