Total Variation Constrained Graph-Regularized Convex Non-Negative Matrix Factorization for Data Representation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3047576
Abstract: We propose a novel NMF algorithm, named Total Variation constrained Graph-regularized Convex Non-negative Matrix Factorization (TV-GCNMF), to incorporate total variation and graph Laplacian with convex NMF. In this model, the feature details of the data… read more here.
Keywords: graph regularized; variation constrained; total variation; constrained graph ... See more keywords
Fast parallel implementation for total variation constrained algebraic reconstruction technique.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of X-ray science and technology"
DOI: 10.3233/xst-221163
Abstract: In computed tomography (CT), the total variation (TV) constrained algebraic reconstruction technique (ART) can obtain better reconstruction quality when the projection data are sparse and noisy. However, the ART-TV algorithm remains time-consuming since it requires… read more here.
Keywords: total variation; constrained algebraic; algebraic reconstruction; reconstruction ... See more keywords