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Proceedings ArticleDOI
Accelerated local anomaly detection via resolving attributed networks
Ninghao Liu,Xiao Huang,Xia Hu +2 more
TL;DR: A collective way for modeling heterogeneous network and attribute information is designed, and a novel and efficient distributed optimization algorithm is developed to handle large-scale data.
Book ChapterDOI
Unsupervised Entity Resolution on Multi-type Graphs
TL;DR: This work addresses the problem of performing entity resolution on RDF graphs containing multiple types of nodes, using the links between instances of different types to improve the accuracy, and formulate this problem as a multi-type graph summarization problem.
Journal ArticleDOI
A convergent blind deconvolution method for post-adaptive-optics astronomical imaging
TL;DR: In this paper, a blind deconvolution method based on the scaled gradient projection (SGP) method is proposed to solve the problem of Poisson noise perturbation in a non-convex setting, where the objective function is a generalized Kullback-Leibler (KL) divergence.
Journal ArticleDOI
Computational approaches for discovery of mutational signatures in cancer.
Adrian Baez-Ortega,Kevin Gori +1 more
TL;DR: In this review, the attention is focused on the mathematical models and computational techniques that have driven recent advances in the field of mutational signatures.
Journal ArticleDOI
Low-rank sparse principal component thermography (sparse-PCT): Comparative assessment on detection of subsurface defects
TL;DR: The proposed approach focuses on the application of low-rank sparse principal component thermography (Sparse-PCT or SPCT) to assess the advantages and drawbacks of the method for non-destructive testing and demonstrates the considerable performance while the other methods failed.
Related Papers (5)
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