2013 IEEE 9th International Conference on Computational Cybernetics (ICCC) 2013
DOI: 10.1109/icccyb.2013.6617625
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HOSVD-wavelet based framework for multidimensional data approximation

Abstract: The representation of data plays significant role in many applications, as for instance when performing data compression, feature extraction or enhancement, etc. In this paper we briefly mention some well known data representation forms and propose a new domain based on the so called higher order singular value decomposition (HOSVD) and wavelet transformation. It will be shown how the data can be processed by manipulating its components in this domain. Furthermore, the properties of the components as well as t… Show more

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Cited by 4 publications
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