Hidden Discriminative Features Extraction for Supervised High-order Time Series Modeling
Hidden Discriminative Features Extraction for Supervised High-order Time Series Modeling
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United States: Elsevier Ltd
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Language
English
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United States: Elsevier Ltd
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Abstract In this paper, an orthogonal Tucker-decomposition-based extraction of high-order discriminative subspaces from a tensor-based time series data structure is presented, named as Tensor Discriminative Feature Extraction (TDFE). TDFE relies on the employment of category information for the maximization of the between-class scatter and the mini...
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Full title
Hidden Discriminative Features Extraction for Supervised High-order Time Series Modeling
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TN_cdi_proquest_miscellaneous_1837325325
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1837325325
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ISSN
0010-4825
E-ISSN
1879-0534
DOI
10.1016/j.compbiomed.2016.08.018
