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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1842/3673
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| Title: | Towards Semi-supervised Manifold Learning: UKR with Structural Hints |
| Authors: | Steffen, Jan
Klanke, Stefan
Vijayakumar, Sethu
Ritter, Helge |
| Issue Date: | 2009 |
| Journal Title: | Proc. 7th International Workshop on Self Organizing Maps (WSOM’09) |
| Abstract: | 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. |
| Keywords: | Informatics
Computer Science |
| URI: | http://www.springerlink.com/content/k451684040143110/
http://hdl.handle.net/1842/3673 |
| ISBN: | 978-3-642-02396-5 |
| Appears in Collections: | Informatics Publications
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