660 search results - page 5 / 132 » Stationary Subspace Analysis |
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...
FGR
2000
IEEE
14 years 2 months ago
2000
IEEE
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Pattern recognition problems often suffer from the larger intra-class variation due to situation variations such as pose, walking speed, and clothing variations in gait recognition...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
MOC
2002
13 years 9 months ago
2002
ABSTRACT. The aim of this paper is to provide a convergence analysis for a preconditioned subspace iteration, which is designated to determine a modest number of the smallest eigen...