Abstract: Since higher-order tensors are naturally suitable for representing multi-dimensional data in real-world, e.g., color images and videos, low-rank tensor representation has become one of the ...

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1 Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan 2 Graduate School of Engineering, The University of Tokyo, Tokyo, Japan Neural oscillation, particularly gamma oscillation ...

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Yunnan Key Laboratory of Statistical Modeling and Data Analysis, Yunnan University, Kunming, China Low-rank tensor completion (LRTC), which aims to complete missing entries from tensors with partially ...

In recent years, there are many surrogates for tensor tubal rank. In this paper, we propose a hybrid norm consisting of the weighted nuclear norm and the weighted Frobenius norm (WTNFN) of a tensor.

This paper mainly studies the problem of tensor robust principal component analysis (TRPCA), in order to accurately recover the low rank and sparse components from the observed signals. Most of the ...