Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3017250
Abstract: Unsupervised spectral feature selection (USFS) methods could output interpretable and discriminative results by embedding a Laplacian regularizer in the framework of sparse feature selection to keep the local similarity of the training samples. To do… read more here.
Keywords: hyper graph; graph; unsupervised spectral; feature selection ... See more keywords
Unsupervised spectral reconstruction from RGB images under two lighting conditions.
Sign Up to like & getrecommendations! Published in 2024 at "Optics letters"
DOI: 10.1364/ol.517007
Abstract: Unsupervised spectral reconstruction (SR) aims to recover the hyperspectral image (HSI) from corresponding RGB images without annotations. Existing SR methods achieve it from a single RGB image, hindered by the significant spectral distortion. Although several… read more here.
Keywords: spectral reconstruction; reconstruction rgb; rgb images; rgb ... See more keywords