543 search results - page 4 / 109 » Nonlinear principal component analysis of noisy data |
61
Voted
VC
2011
14 years 4 months ago
2011
76
Voted
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
ICA (Independent Component Analysis) is a new technique for analyzing multi-variant data. Lots of results are reported in the field of neurobiological data analysis such as EEG (...
ICANN
1997
Springer
15 years 1 months ago
1997
Springer
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
CCE
2006
14 years 9 months ago
2006
Principal differential analysis (PDA) is an alternative parameter estimation technique for differential equation models in which basis functions (e.g., B-splines) are fitted to dy...
ECCV
2010
Springer
15 years 1 months ago
2010
Springer
Manifolds are widely used to model non-linearity arising in a range of computer vision applications. This paper treats statistics on manifolds and the loss of accuracy occurring wh...