PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Towards Semi-supervised Manifold Learning: UKR with Structural Hints
Jan Steffen, Stefan Klanke, Sethu Vijayakumar and Helge Ritter
In: WSOM 2009, Orlando, Florida, USA(2009).

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.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:5899
Deposited By:Stefan Klanke
Deposited On:08 March 2010