1183 search results - page 112 / 237 » Learning Process Models with Missing Data |
111
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HRI
2007
ACM
15 years 5 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...
108
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SBRN
2000
IEEE
15 years 6 months ago
2000
IEEE
This paper explores basic aspects of the immune system and proposes a novel immune network model with the main goals of clustering and filtering unlabeled numerical data sets. It ...
126
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GECCO
2008
Springer
15 years 2 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
118
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BRAIN
2010
Springer
15 years 16 days ago
2010
Springer
Discovering brain mechanisms underlying pain perception remains a challenging neuroscientific problem with important practical applications, such as developing better treatments f...
143
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ICIP
2007
IEEE
16 years 3 months ago
2007
IEEE
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...