Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3055039
Abstract: This paper explores the problem of multi-view spectral clustering (MVSC) based on tensor low-rank modeling. Unlike the existing methods that all adopt an off-the-shelf tensor low-rank norm without considering the special characteristics of the tensor… read more here.
Keywords: multi view; low rank; tensor low; rank ... See more keywords
Online Tensor Low-Rank Representation for Streaming Data Clustering
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3207484
Abstract: Tensor low-rank representation (TLRR) has attracted increasing attention in recent years due to its effectiveness in capturing the intrinsic low-rank structure of tensor data. However, it is known that TLRR suffers from high computational complexity… read more here.
Keywords: rank representation; low rank; tensor; tensor low ... See more keywords
Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3228927
Abstract: Hyperspectral image (HSI) denoising is a fundamental task in remote sensing image processing, which is helpful for HSI subsequent applications, such as unmixing and classification. Thanks to the powerful representation ability of untrained deep neural… read more here.
Keywords: rank; tensor low; low rank; rank prior ... See more keywords