Deep Grassmannian multiview subspace clustering with contrastive learning
This paper investigated the problem of multiview subspace clustering, focusing on feature learning with submanifold structure and exploring the invariant representations of multiple views. A novel approach was proposed in this study, termed deep Grassmannian multiview subspace clustering with contra...
Saved in:
Main Authors: | Rui Wang, Haiqiang Li, Chen Hu, Xiao-Jun Wu, Yingfang Bao |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2024-09-01
|
Series: | Electronic Research Archive |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/era.2024252 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Torus quotient of the Grassmannian $G_{n,2n}$
by: Nayek, Arpita, et al.
Published: (2023-11-01) -
A Multitask Multiview Neural Network for End-to-End Aspect-Based Sentiment Analysis
by: Yong Bie, et al.
Published: (2021-09-01) -
Contrast-Invariant Edge Detection: A Methodological Advance in Medical Image Analysis
by: Dang Li, et al.
Published: (2025-01-01) -
Cohomology of semi-invariant submanifolds of cosymplectic manifolds
by: Ramazan Sarı
Published: (2021-06-01) -
C3DGS: Compressing 3D Gaussian Model for Surface Reconstruction of Large-Scale Scenes Based on Multiview UAV Images
by: Jiating Qian, et al.
Published: (2025-01-01)