910 search results - page 43 / 182 » Progressive Principal Component Analysis |
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
NN
2000
Springer
13 years 7 months ago
2000
Springer
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
ACSAC
2001
IEEE
13 years 11 months ago
2001
IEEE
Software component technology facilitates the costeffective development of specialized applications. Nevertheless, due to the high number of principals involved in a component-str...
AIPR
2003
IEEE
14 years 29 days ago
2003
IEEE
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
This paper proposes a novel method for texture segmentation using independent component analysis (ICA) of Gabor features (called ICAG). It has three distinguished aspects. (1) Gab...