What's the difference between Multilinear Principal Component Analysis and Multilinear Subspace Learning?

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I'm currently working on implementing Multilinear subspace learning in one of my models and there isn't a lot of documentation online about it, however, I came across some documentation about Multilinear component analysis (MPCA) and I was wondering if they're the same thing?

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