Rank Approximation of a Tensor with Applications in Color Image and Video Processing
Numerical Analysis
2019-04-30 v1
Abstract
We propose a block coordinate descent type algorithm for estimating the rank of a given tensor. In addition, the algorithm provides the canonical polyadic decomposition of a tensor. In order to estimate the tensor rank we use sparse optimization method using norm. The algorithm is implemented on single moving object videos and color images for approximating the rank.
Keywords
Cite
@article{arxiv.1904.12375,
title = {Rank Approximation of a Tensor with Applications in Color Image and Video Processing},
author = {Ramin Goudarzi Karim and Carmeliza Navasca and Da Yan},
journal= {arXiv preprint arXiv:1904.12375},
year = {2019}
}