1088 search results - page 14 / 218 » Robust Principal Component Analysis for Computer Vision |
COMPLIFE
2006
Springer
15 years 1 months ago
2006
Springer
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
DCC
2009
IEEE
15 years 10 months ago
2009
IEEE
An analysis is presented that extends existing Rayleigh-Ritz theory to the special case of highly eccentric distributions. Specifically, a bound on the angle between the first Rit...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
In an experiment with a soccer playing robot, periodic temporally-constrained nonlinear principal component neural networks (NLPCNNs) are shown to characterize humanoid motion eff...
ICML
2009
IEEE
15 years 4 months ago
2009
IEEE
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...