Topological structure regularized nonnegative matrix factorization for image clustering
Sign Up to like & getrecommendations! 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
Hyperspectral Image Clustering Based on Unsupervised Broad Learning
Sign Up to like & getrecommendations! 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 & getrecommendations! 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