Szabo, Z;
Póczos, B;
Lőrincz, A;
(2007)
Undercomplete Blind Subspace Deconvolution via Linear Prediction.
In: Kok, JN and Koronacki, J and Mantaras, RL and Matwin, S and Mladenic, D and Skowron, A, (eds.)
Machine Learning: ECML 2007. Proceedings of the 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007.
(pp. 740 - 747).
Springer-Verlag, Berlin Heidelberg
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Abstract
We present a novel solution technique for the blind subspace deconvolution (BSSD) problem, where temporal convolution of multidimensional hidden independent components is observed and the task is to uncover the hidden components using the observation only. We carry out this task for the undercomplete case (uBSSD): we reduce the original uBSSD task via linear prediction to independent subspace analysis (ISA), which we can solve. As it has been shown recently, applying temporal concatenation can also reduce uBSSD to ISA, but the associated ISA problem can easily become 'high dimensional' [1]. The new reduction method circumvents this dimensionality problem. We perform detailed studies on the efficiency of the proposed technique by means of numerical simulations. We have found several advantages: our method can achieve high quality estimations for smaller number of samples and it can cope with deeper temporal convolutions.
| Type: | Proceedings paper |
|---|---|
| Title: | Undercomplete Blind Subspace Deconvolution via Linear Prediction |
| Event: | European Conference on Machine Learning (ECML) |
| Location: | Warsaw, Poland |
| Dates: | 2007-09-17 - 2007-09-21 |
| ISBN-13: | 978-3-540-74957-8 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-540-74958-5_75 |
| Publisher version: | http://dx.doi.org/10.1007/978-3-540-74958-5_75 |
| Language: | English |
| Additional information: | This is the authors' accepted version of this published article. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-74958-5_75 |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1433229 |
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