595 search results - page 23 / 119 » A Density-Based Data Reduction Algorithm for Robust Estimato... |
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...
ICIP
2007
IEEE
13 years 8 months ago
2007
IEEE
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
BMCBI
2008
13 years 8 months ago
2008
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
AMCS
2008
13 years 8 months ago
2008
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...