LAUSR

Topological structure regularized nonnegative matrix factorization for image clustering

Sign Up to like & get
recommendations!
0 Published in 2018 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-3572-4

Abstract: Image representation is supposed to reveal the distinguishable feature and be captured in unsupervised fashion. Recently, nonnegative matrix factorization (NMF) has been widely used in capturing the parts-based feature for image representation. Previous NMF variants… read more here.

Keywords: image; topological structure; number; image clustering ... See more keywords

PDTE: Pseudo Dual-View Contrastive Learning via Taylor Expansion Optimization for Remote Sensing Image Clustering

Sign Up to like & get
recommendations!
0 Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2024.3452070

Abstract: Image clustering is a crucial task in remote sensing data processing. Nevertheless, relying solely on traditional machine learning algorithms is insufficient for processing large amounts of images and accurately clustering them. Some recent works have… read more here.

Keywords: image clustering; pseudo dual; remote sensing; dual view ... See more keywords

Hyperspectral Image Clustering Based on Unsupervised Broad Learning

Sign Up to like & get
recommendations!
0 Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2019.2907598

Abstract: Due to the difficulty of labeling a large number of training samples of a hyperspectral image (HSI), unsupervised clustering methods have drawn great attention. The recently proposed broad learning (BL) can implement both linear and… read more here.

Keywords: hyperspectral image; based unsupervised; clustering based; broad learning ... See more keywords

Large-Scale Image Clustering Based on Camera Fingerprints

Sign Up to like & get
recommendations!
0 Published in 2017 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2016.2636086

Abstract: Practical applications of digital forensics are often faced with the challenge of grouping large-scale suspicious images into a vast number of clusters, each containing images taken by the same camera. This task can be approached… read more here.

Keywords: large scale; image; camera; image clustering ... See more keywords

Hierarchical multi-view image clustering

Sign Up to like & get
recommendations!
0 Published in 2025 at "Journal of Electronic Imaging"

DOI: 10.1117/1.jei.34.4.043048

Abstract: Abstract. Image data have gained significant attention due to its extensive application in real-world scenarios. However, existing multi-view image clustering methods often encounter critical limitations, such as inadequate consideration of denoising and redundancy reduction, as… read more here.

Keywords: image; multi; image clustering; view image ... See more keywords