Cross Tensor Approximation (CTA) is a generalization of Cross/skeleton matrix and CUR Matrix (CMA) suitable tool for fast low-rank tensor approximation. It facilitates interpreting the underlying data tensors decomposing/compressing in such way that their structures as nonnegativity, smoothness, or sparsity can be potentially preserved. In this paper, we review extend state-of-the-art determini...