Journal Article

Dimensionality reduction in ICA and rank-(R1, R2,..., RN) reduction in multilinear algebra

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 3195 295-302
DOI: 10.1007/978-3-540-30110-3_38
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Abstract

We show that the best rank-(R1, R2,..., R N) approximation in multilinear algebra is a powerful tool for dimensionality reduction in ICA schemes without prewhitening. We consider the application to different classes of ICA algorithms. © Springer-Verlag 2004.

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APA

De Lathauwer, L., & Vandewalle, J. (2004). Dimensionality reduction in ICA and rank-(R1, R2,..., RN) reduction in multilinear algebra. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 295–302. https://doi.org/10.1007/978-3-540-30110-3_38

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