Block Diagonal Representation Learning for Hyperspectral Band Selection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3266811
Abstract: Hyperspectral band selection is viewed as an effective dimension reduction method. Recently, researchers present graph-based clustering for hyperspectral image (HSI) processing. However, most of them conduct clustering on a fixed data matrix so that it… read more here.
Keywords: band; representation learning; hyperspectral band; band selection ... See more keywords
Subspace Clustering by Block Diagonal Representation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2794348
Abstract: This paper studies the subspace clustering problem. Given some data points approximately drawn from a union of subspaces, the goal is to group these data points into their underlying subspaces. Many subspace clustering methods have… read more here.
Keywords: diagonal representation; block; subspace clustering; block diagonal ... See more keywords