326 search results - page 4 / 66 » Principal Component Analysis for Distributed Data Sets with ... |
COLT
2010
Springer
13 years 6 months ago
2010
Springer
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obse...
BMCBI
2010
13 years 7 months ago
2010
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
AIPR
2002
IEEE
14 years 27 days 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 ...
BMCBI
2006
13 years 8 months ago
2006
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
This paper proposes a new robust 3-D object blind watermarking method using constraints in the spectral domain. Mesh watermarking in spectral domain has the property of spreading ...