LAUSR

Self-Guided Deep Multiview Subspace Clustering via Consensus Affinity Regularization.

Sign Up to like & get
recommendations!
0 Published in 2021 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2021.3087746

Abstract: Multiview subspace clustering (MVSC) leverages the complementary information among different views of multiview data and seeks a consensus subspace clustering result better than that using any individual view. Though proved effective in some cases, existing… read more here.

Keywords: multiview; consensus; subspace clustering; affinity ... See more keywords

Partial Tubal Nuclear Norm-Regularized Multiview Subspace Learning.

Sign Up to like & get
recommendations!
2 Published in 2023 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2023.3263175

Abstract: In this article, a unified multiview subspace learning model, called partial tubal nuclear norm-regularized multiview subspace learning (PTN 2 MSL), was proposed for unsupervised multiview subspace clustering (MVSC), semisupervised MVSC, and multiview dimension reduction. Unlike… read more here.

Keywords: subspace; multiview subspace; subspace learning; nuclear norm ... See more keywords

Tensorial Multiview Subspace Clustering for Polarimetric Hyperspectral Images

Sign Up to like & get
recommendations!
1 Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3174830

Abstract: Polarimetric hyperspectral images (PHSIs) can provide complementary representations of a scene from the perspectives of images, spectra, and polarization at the same time and are expected to improve the quality of scene description. In this… read more here.

Keywords: multiview subspace; multiview; hyperspectral images; subspace clustering ... See more keywords

Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection

Sign Up to like & get
recommendations!
1 Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3220814

Abstract: In recent years, multiview subspace learning has been garnering increasing attention. It aims to capture the inner relationships of the data that are collected from multiple sources by learning a unified representation. In this way,… read more here.

Keywords: anomalous change; multiview subspace; subspace learning; detection ... See more keywords

Kernelized Multiview Subspace Analysis By Self-Weighted Learning

Sign Up to like & get
recommendations!
0 Published in 2021 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2020.3032023

Abstract: With the popularity of multimedia technology, information is always represented from multiple views. Even though multiview data can reflect the same sample from different perspectives, multiple views are consistent to some extent because they are… read more here.

Keywords: multiview; multiview data; subspace analysis; kernelized multiview ... See more keywords

Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph.

Sign Up to like & get
recommendations!
2 Published in 2023 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2023.3260258

Abstract: Multiview subspace clustering (MVSC) has been used to explore the internal structure of multiview datasets by revealing unique information from different views. Most existing methods ignore the consistent information and angular information of different views.… read more here.

Keywords: information; multiview subspace; low rank; subspace clustering ... See more keywords