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Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling.

, , , , and . IEEE Signal Process. Mag., 39 (6): 18-52 (2022)

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Semi-blind maximum-likelihood joint channel/data estimation for correlated channels in multiuser MIMO networks., , , and . Signal Process., 90 (4): 1209-1224 (2010)Training-Based Estimation of Correlated MIMO Fading Channels in the Presence of Colored Interference., , and . ISCAS, page 1337-1340. IEEE, (2007)Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series., , , , , and . IEEE Trans. Signal Process., (2020)Multi-resolution morphological analysis and classification of mammographic masses using shape, spectral and wavelet features., , , , and . DSP, page 465-468. IEEE, (2002)Bayesian Training in Photonic Neural Meshes., , , and . COMPENG, page 1-5. IEEE, (2022)Perfect-reconstruction FIR filter banks with mirror-image symmetry., , and . ICECS, page 460-463. IEEE, (1996)Locating Rhythmic Patterns in Music Recordings using Hidden Markov Models., , and . ICASSP (1), page 221-224. IEEE, (2007)Affinely constrained online learning and its application to beamforming., and . ICASSP, page 1573-1576. IEEE, (2009)Sparsity-Aware Adaptive Learning: A Set Theoretic Estimation Approach., , , and . ALCOSP, page 748-756. International Federation of Automatic Control, (2013)Unsupervised Pre-training of the Brain Connectivity Dynamic Using Residual D-Net., , , and . ICONIP (3), volume 11955 of Lecture Notes in Computer Science, page 608-620. Springer, (2019)