Robust Tensor SVD and Recovery With Rank Estimation.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3067676
Abstract: Tensor singular value decomposition (t-SVD) has recently become increasingly popular for tensor recovery under partial and/or corrupted observations. However, the existing t-SVD-based methods neither make use of a rank prior nor provide an accurate rank… read more here.
Keywords: robust tensor; rank estimation; tensor; svd ... See more keywords
Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2766160
Abstract: Completing a matrix from a small subset of its entries, i.e., matrix completion is a challenging problem arising from many real-world applications, such as machine learning and computer vision. One popular approach to solve the… read more here.
Keywords: matrix; rank estimation; rank one; matrix completion ... See more keywords