241 search results - page 4 / 49 » A learning algorithm for adaptive canonical correlation anal... |
CIVR
2008
Springer
13 years 7 months ago
2008
Springer
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
A convenient way of dealing with image sets is to represent them as points on Grassmannian manifolds. While several recent studies explored the applicability of discriminant analy...
APVIS
2009
13 years 6 months ago
2009
We present a correlation study of time-varying multivariate volumetric data sets. In most scientific disciplines, to test hypotheses and discover insights, scientists are interest...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
JCP
2008
13 years 5 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...