Spectral-Spatial Hypergraph-Regularized Self-Representation for Hyperspectral Band Selection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3276055
Abstract: Due to the redundancy and sparsity of hyperspectral data, sparse representation (SR) has proven to be well-suited for hyperspectral band selection (BS). Moreover, graph regularizers can effectively incorporate local structural information of the data to… read more here.
Keywords: hyperspectral band; band selection; regularized self; hypergraph regularized ... See more keywords
Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization
Sign Up to like & getrecommendations! Published in 2019 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-3197-3
Abstract: Synthetic lethality has attracted a lot of attentions in cancer therapeutics due to its utility in identifying new anticancer drug targets. Identifying synthetic lethal (SL) interactions is the key step towards the exploration of synthetic… read more here.
Keywords: graph regularized; regularized self; matrix; lethal interactions ... See more keywords