39 search results - page 1 / 8 » Supervised Linear Feature Extraction for Mobile Robot Locali... |
54
Voted
ICRA
2000
IEEE
15 years 2 months ago
2000
IEEE
ICANN
2003
Springer
15 years 2 months ago
2003
Springer
Locally linear embedding (LLE) is a recently proposed method for unsupervised nonlinear dimensionality reduction. It has a number of attractive features: it does not require an ite...
100
click to vote
ICRA
2000
IEEE
15 years 1 months ago
2000
IEEE
Much attention has been given to CONDENSATION methods for mobile robot localization. This has resulted in somewhat of a breakthrough in representing uncertainty for mobile robots....
ICRA
2005
IEEE
15 years 3 months ago
2005
IEEE
— In this paper we present a vision-based approach to self-localization that uses a novel scheme to integrate featurebased matching of panoramic images with Monte Carlo localizat...
IROS
2006
IEEE
15 years 3 months ago
2006
IEEE
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...