Hub-based subspace clustering
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.098
Abstract: Abstract Data often exists in subspaces embedded within a high-dimensional space. Subspace clustering seeks to group data according to the dimensions relevant to each subspace. This requires the estimation of subspaces as well as the… read more here.
Keywords: hub based; high dimensional; subspace clustering; based subspace ... See more keywords
A New Target Detector Based on Subspace Projections Using Polarimetric SAR Data
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2018.2879681
Abstract: Most applications of radar imagery require processing techniques which achieve one fundamental goal: characterize and detect the constituent scatterers for each pixel in the scene. In this paper, we take a new look at the… read more here.
Keywords: subspace projections; scattering mechanisms; using polarimetric; subspace ... See more keywords
Projection domain processing for low-dose CT reconstruction based on subspace identification.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of X-ray science and technology"
DOI: 10.3233/xst-221262
Abstract: PURPOSE Low-dose computed tomography (LDCT) has promising potential for dose reduction in medical applications, while suffering from low image quality caused by noise. Therefore, it is in urgent need for developing new algorithms to obtain… read more here.
Keywords: projection; subspace identification; based subspace; low dose ... See more keywords