Multilinear Discriminant Analysis for Higher-Order Tensor Data Classification

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Tensor representation in high-frequency financial data for price change prediction (2017, methodology): “An iterative approach is usually employed to solve the optimization in (5) [[27], [26], [32].”
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives (2017, methodology): “Finally, the MDA objective function can be described as J(Wn) = řC c=1 Mc}(Lc ´ L) śN n=1ˆnWTn}2F řC c=1 řMc m=1 }(X c m ´ Lc) śN n=1ˆnWTn}2F = Tr(WTnB´nWn) Tr(WTnS´nWn) , (2.97) and the set of optimal projection matrices should maximize J(Wn) for n = 1, . . . , N simultaneously, to best preserve th”