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05/11/2023
Two new algorithms for maximum likelihood estimation of sparse covariance matrices with applications to graphical modeling
In this paper, we propose two new algorithms for maximum-likelihood esti...
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05/10/2023
Pearson-Matthews correlation coefficients for binary and multinary classification and hypothesis testing
The Pearson-Matthews correlation coefficient (usually abbreviated MCC) i...
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05/10/2023
Fair principal component analysis (PCA): minorization-maximization algorithms for Fair PCA, Fair Robust PCA and Fair Sparse PCA
In this paper we propose a new iterative algorithm to solve the fair PCA...
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04/18/2023
Low-rank covariance matrix estimation for factor analysis in anisotropic noise: application to array processing and portfolio selection
Factor analysis (FA) or principal component analysis (PCA) models the co...
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09/16/2022
Comments on "Iteratively Re-weighted Algorithm for Fuzzy c-Means"
In this comment, we present a simple alternate derivation to the IRW-FCM...
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04/05/2022
Designing Interference-Immune Doppler-TolerantWaveforms for Automotive Radar Applications
Dynamic target detection using FMCW waveform is challenging in the prese...
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02/06/2022
Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals
In this letter, we propose an algorithm for learning a sparse weighted g...
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10/16/2021
PDMM: A novel Primal-Dual Majorization-Minimization algorithm for Poisson Phase-Retrieval problem
In this paper, we introduce a novel iterative algorithm for the problem ...
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02/12/2016
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation
The problem of estimating sparse eigenvectors of a symmetric matrix attr...
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06/17/2015