9 search results - page 1 / 2 » SLAM using Incremental Probabilistic PCA and Dimensionality ... |
ICRA
2005
IEEE
13 years 10 months ago
2005
IEEE
— The recent progress in robot mapping (or SLAM) algorithms has focused on estimating either point features (such as landmarks) or grid-based representations. Both of these repre...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
AVSS
2007
IEEE
13 years 10 months ago
2007
IEEE
This paper addresses the problem of classifying human actions in a video sequence. A representation eigenspace approach based on the PCA algorithm is used to train the classifier...
ICIAP
2003
ACM
13 years 9 months ago
2003
ACM
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
ICIP
2004
IEEE
14 years 6 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...