116 search results - page 21 / 24 » Dimensionality reduction techniques for proximity problems |
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Canonical Correlation Analysis (CCA) is a well-known technique for finding the correlations between two sets of multi-dimensional variables. It projects both sets of variables int...
PREMI
2005
Springer
14 years 1 months ago
2005
Springer
Images constitute data that lives in a very high dimensional space, typically of the order of hundred thousand dimensions. Drawing inferences from data of such high dimensions soon...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
In this paper, we consider the problem of categorizing
videos of dynamic textures under varying view-point. We
propose to model each video with a collection of Linear
Dynamics S...
ICCV
2003
IEEE
14 years 24 days ago
2003
IEEE
Detecting the dominant normal directions to the decision surface is an established technique for feature selection in high dimensional classification problems. Several approaches...