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07/24/2023
Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA
The detection of multiple targets in an enclosed scene, from its outside...
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03/09/2023
Entropic Wasserstein Component Analysis
Dimension reduction (DR) methods provide systematic approaches for analy...
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10/21/2022
Learning Graphical Factor Models with Riemannian Optimization
Graphical models and factor analysis are well-established tools in multi...
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09/07/2022
Riemannian optimization for non-centered mixture of scaled Gaussian distributions
This paper studies the statistical model of the non-centered mixture of ...
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02/23/2022
Robust Geometric Metric Learning
This paper proposes new algorithms for the metric learning problem. We s...
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09/03/2021
Regularized tapered sample covariance matrix
Covariance matrix tapers have a long history in signal processing and re...
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07/22/2021
Robust low-rank covariance matrix estimation with a general pattern of missing values
This paper tackles the problem of robust covariance matrix estimation wh...
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11/05/2018