Low rank tensor completion for multiway visual data
Low rank tensor completion for multiway visual data is a scholarly work, published in 2019 in ''Signal Processing''. The main subjects of the publication include categorization, rank, artificial intelligence, noise reduction, tensor, transformation, algorithm, missing data, tensor decomposition, tensor completion, compressed sensing, mathematics, pattern recognition, and computer science. The authors provide an overview of recent development in low-rank tensor completion for estimating the missing components of visual data, e.g. , color images and videos.