139 search results - page 14 / 28 » A Bayesian approach to empirical local linearization for rob... |
162
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IROS
2007
IEEE
16 years 10 days 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 ...
168
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ICRA
2009
IEEE
16 years 21 days 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...
178
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CSDA
2007
15 years 6 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 ...
169
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JMLR
2010
15 years 25 days 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...
144
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ICRA
2007
IEEE
16 years 11 days 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...