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20032026
most citedNonlinear unmixing of hyperspectral images: models and algorithms

421 citations · 3.9k across the 201 of their papers we have counts for

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Showing cs.SIShow all

17 papers · 1 filter

cs.SI2018

Latent heterogeneous multilayer community detection

Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz +3

We propose a method for simultaneously detecting shared and unshared communities in heterogeneous multilayer weighted and undirected networks. The multilayer network is assumed to…

cs.SI2016★ 3 cited

AMOS: An Automated Model Order Selection Algorithm for Spectral Graph Clustering

Pin-Yu Chen, Thibaut Gensollen, Alfred O. Hero

One of the longstanding problems in spectral graph clustering (SGC) is the so-called model order selection problem: automated selection of the correct number of clusters. This is e…

cs.SI2016★ 1 cited

Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach

Pin-Yu Chen, Chun-Chen Tu, Pai-Shun Ting +3

Patterns of event propagation in online social networks provide novel insights on the modeling and analysis of information dissemination over networks and physical systems. This pa…

cs.SI2016★ 12 cited

Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering

Pin-Yu Chen, Alfred O. Hero

One of the longstanding open problems in spectral graph clustering (SGC) is the so-called model order selection problem: automated selection of the correct number of clusters. This…

cs.SI2015★ 3 cited

Multi-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection

Pin-Yu Chen, Sutanay Choudhury, Alfred O. Hero

Many modern datasets can be represented as graphs and hence spectral decompositions such as graph principal component analysis (PCA) can be useful. Distinct from previous graph dec…

cs.SI2015★ 15 cited

Incremental Method for Spectral Clustering of Increasing Orders

Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan +1

The smallest eigenvalues and the associated eigenvectors (i.e., eigenpairs) of a graph Laplacian matrix have been widely used for spectral clustering and community detection. Howev…