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Journal ArticleDOI
Urban heat island monitoring and analysis using a non-parametric model: A case study of Indianapolis
TL;DR: In this article, a procedure for the monitoring of an urban heat island (UHI) was developed and tested over a selected location in the Midwestern United States, where nine counties in central Indiana were selected and their UHI patterns were modeled.
Proceedings ArticleDOI
Bayesian extensions to non-negative matrix factorisation for audio signal modelling
TL;DR: The underlying probabilistic generative signal model of non-negative matrix factorisation (NMF) is described and a realistic conjugate priors on the matrices to be estimated are proposed to enable modelling the spectral smoothness of natural sounds in general.
Proceedings Article
Semantic community identification in large attribute networks
TL;DR: A novel nonnegative matrix factorization (NMF) model with two sets of parameters, the community membership matrix and community attribute matrix is proposed and the use of node attributes improves upon community detection and provides a semantic interpretation to the resultant network communities.
Journal ArticleDOI
NMF-SVM Based CAD Tool Applied to Functional Brain Images for the Diagnosis of Alzheimer's Disease
TL;DR: A novel computer-aided diagnosis technique for the early diagnosis of the Alzheimer's disease (AD) based on nonnegative matrix factorization (NMF) and support vector machines (SVM) with bounds of confidence with up to 91% classification accuracy with high sensitivity and specificity rates.
Proceedings ArticleDOI
Overlapping community detection via bounded nonnegative matrix tri-factorization
Yu Zhang,Dit-Yan Yeung +1 more
TL;DR: This paper proposes a method called bounded nonnegative matrix tri-factorization (BNMTF), which can explicitly model and learn the community membership of each node as well as the interaction among communities using three factors in the factorization.
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Learning the parts of objects by non-negative matrix factorization
Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values†
Pentti Paatero,Unto Tapper +1 more