Journal Article

Framework of constrained matrix gradient flows

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 3195 144-151
DOI: 10.1007/978-3-540-30110-3_19
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Abstract

The paper presents general formulas of constrained matrix gradient flows which can be used to derive algorithms for specific problems appeared in the aspects of ICA including joint diagonalization and joint SVD problems. Some previous and novel examples of constrained matrix gradient flows are derived using the general formulas. © Springer-Verlag 2004.

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APA

Hori, G. (2004). Framework of constrained matrix gradient flows. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 144–151. https://doi.org/10.1007/978-3-540-30110-3_19

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