Automated crystal characterization with a fast neighborhood graph analysis method.
Sign Up to like & getrecommendations! Published in 2018 at "Soft matter"
DOI: 10.1039/c8sm00960k
Abstract: We present a significantly improved, very fast implementation of the Neighborhood Graph Analysis technique for template-free characterization of crystal structures [W. F. Reinhart et al., Soft Matter, 2017, 13, 4733]. By comparing local neighborhoods in… read more here.
Keywords: graph analysis; neighborhood graph; characterization; method ... See more keywords
Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.2975394
Abstract: The objective of self-expression based spectral clustering is to learn an affinity matrix which accurately reflects the similarity among data, and the Laplacian constraint is usually exploited to make the affinity matrix preserve the global… read more here.
Keywords: grassmann manifolds; graph grassmann; learning adaptive; neighborhood ... See more keywords