212 search results - page 6 / 43 » Position Estimation Using Principal Components of Range Data |
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
An extension of principal component analysis called ipPCA has been proposed earlier for analyzing structure in genetic data. This non-parametric framework iteratively classifies ...
AIPR
2003
IEEE
13 years 12 months ago
2003
IEEE
In the research reported in this paper, we propose to overcome the unavailability of Global Positioning System (GPS) using combined information obtained from a scanning LADAR rang...
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
NN
2000
Springer
13 years 6 months ago
2000
Springer
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...