217 search results - page 22 / 44 » Incremental learning of nonparametric Bayesian mixture model... |
HRI
2007
ACM
15 years 3 months ago
2007
ACM
We present an approach to teach incrementally human gestures to a humanoid robot. The learning process consists of first projecting the movement data in a latent space and encodin...
112
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MIR
2005
ACM
15 years 5 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
110
Voted
IROS
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
107
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ICIAR
2010
Springer
14 years 9 months ago
2010
Springer
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
107
Voted
ICDAR
2009
IEEE
15 years 6 months ago
2009
IEEE
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...