Recently, multi-view clustering attracts much attention, which aims to take advantage of multi-
view information to improve the performance of clustering. However, most recent work …

The detection of camouflaged targets in the complex background is a hot topic of current
research. The existing hyperspectral target detection algorithms do not take advantage of …

In this paper, we propose a novel nonlocal patch tensor-based visual data completion
algorithm and analyze its potential problems. Our algorithm consists of two steps: the first …

Wireless sensor network (WSN) is an emerging and promising develo** area in the
intelligent sensing field. Due to various factors like sudden sensors breakdown or saving …

Multi-view spectral clustering has become appealing due to its good performance in
capturing the correlations among all views. However, on one hand, many existing methods …

Recently, tensor-singular value decomposition based tensor-nuclear norm (t-TNN) has
achieved impressive performance for multi-view graph clustering. This primarily ascribes the …

In this paper, we present the definition of generalized tensor function according to the tensor
singular value decomposition (T-SVD) based on the tensor T-product. Also, we introduce the …

The tensor–tensor product-induced tensor nuclear norm (t-TNN)(Lu et al., 2020)
minimization for low-tubal-rank tensor recovery attracts broad attention recently. However …

In this paper, we study T-eigenvalues of third-order tensors. Definitions of the T-eigenvalues
and Hermitian tensors are proposed. We present a commutative tensor family. We prove …

High-dimensional image representation is a challenging task since data has the intrinsic low-
dimensional and shift-invariant characteristics. Currently, popular methods, such as tensor …