543 search results - page 22 / 109 » Nonlinear principal component analysis of noisy data |
ROBOCUP
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. This paper proposes a new algorithm for the automatic segmentation of motion data from a humanoid soccer playing robot that allows feedforward neural networks to generali...
ADBIS
2003
Springer
14 years 27 days ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
IDA
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
ICA
2004
Springer
14 years 1 months ago
2004
Springer
We present independent slow feature analysis as a new method for nonlinear blind source separation. It circumvents the indeterminacy of nonlinear independent component analysis by ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In this paper, we study the problem of recovering a low-rank matrix (the principal components) from a highdimensional data matrix despite both small entry-wise noise and gross spar...