A Composite Lasso Penalty With an Application in Cosmology

Jairo Diaz Rodriguez,Sylvain Sardy

2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES)（2016）

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摘要

An image was taken by the XMM telescope to better understand galaxy clusters. We model the data as a high dimensional Poisson inverse problem and develop a lasso type estimator with a composite penalty (with two thresholds) to handle both estimation of the gas density in the cluster and detection of point sources.

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关键词

lasso, threshold

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