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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Extended Extreme Learning Machine for Tensorial Signal Classification
verfasst von : Shuai Sun, Bin Zhou, Fan Zhang
Erschienen in: Bio-Inspired Computing - Theories and Applications
Verlag: Springer Berlin Heidelberg
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Recently, there are several multilinear methods have been proposed for tensorial data dimensionality reduction (feature extraction). However, there are few new algorithms for tensorial signals classification. To solve this problem, in this paper, a novel classifier as a tensor extension of extreme learning machine for multi-dimensional data recognition is introduced. Due to the proposed solution can classify tensorial data directly without vectorizing them, the intrinsic structure information of the input data can be reserved. It is demonstrated that the new tensor based classifier can get better recognition performance with a faster learning speed.