Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3220949
Abstract: Self-expressiveness based subspace clustering methods have received wide attention for unsupervised learning tasks. However, most existing subspace clustering methods consider data features as a whole and then focus only on one single self-representation. These approaches… read more here.
Keywords: attribute subspace; multi attribute; subspace clustering; weighted tensor ... See more keywords
Tensor Recovery With Weighted Tensor Average Rank.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3182541
Abstract: In this article, a curious phenomenon in the tensor recovery algorithm is considered: can the same recovered results be obtained when the observation tensors in the algorithm are transposed in different ways? If not, it… read more here.
Keywords: tensor recovery; tensor; average rank; weighted tensor ... See more keywords