1313 search results - page 255 / 263 » Dimensionality Reduction for Classification |
TKDE
2011
13 years 4 months ago
2011
Abstract—Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as k-...
JMLR
2010
13 years 4 months ago
2010
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
A new emerging field, that of visual stylometry of art, proposes to apply image analysis and machine learning tools to high-resolution digital images of artwork in order to assis...
ISNN
2011
Springer
13 years 16 days ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
CVPR
2004
IEEE
14 years 11 months ago
2004
IEEE
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...