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WSOM
2009
Springer

Towards Semi-supervised Manifold Learning: UKR with Structural Hints

10 years 1 months ago
Towards Semi-supervised Manifold Learning: UKR with Structural Hints
We explore generic mechanisms to introduce structural hints into the method of Unsupervised Kernel Regression (UKR) in order to learn representations of data sequences in a semi-supervised way. These new extensions are targeted at representing a dextrous manipulation task. We thus evaluate the effectiveness of the proposed mechanisms on appropriate toy data that mimic the characteristics of the aimed manipulation task and thereby provide means for a systematic evaluation.
Jan Steffen, Stefan Klanke, Sethu Vijayakumar, Hel
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where WSOM
Authors Jan Steffen, Stefan Klanke, Sethu Vijayakumar, Helge Ritter
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