139 search results - page 14 / 28 » A Bayesian approach to empirical local linearization for rob... |
IROS
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— This paper presents a new approach to the intralocalization among a team of robots working in constrained 3D space of urban environments. As the base formation, a team ...
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
— To address the difficulty of designing a controller for complex visual-servoing tasks, two learning-based uncalibrated approaches are introduced. The first method starts by b...
CSDA
2007
13 years 7 months ago
2007
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
JMLR
2010
13 years 2 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
ICRA
2007
IEEE
14 years 2 months ago
2007
IEEE
— This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity o...