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Found 4 papers, 1 papers with code
MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition
Matrix models become insufficient when the hyperspectral image (HSI) is represented as a high-order tensor with additional features in a multimodal, multifeature framework.
Joint Normality Test Via Two-Dimensional Projection
Extensive literature exists on how to test for normality, especially for identically and independently distributed (i. i. d) processes.
A Random Matrix Perspective on Random Tensors
A numerical verification provides evidence that the same holds for orders 4 and 5, leading us to conjecture that, for any order, our fixed-point equation is equivalent to the known characterization of the ML estimation performance that had been obtained by relying on spin glasses.
Identifiability of an X-rank decomposition of polynomial maps
In this paper, we study a polynomial decomposition model that arises in problems of system identification, signal processing and machine learning.
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