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Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion.
Mohammad Shekaramiz
Todd K. Moon
Published in:
Entropy (2023)
Keyphrases
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compressive sensing
random projections
variational bayesian inference
sparse representation
compressive sampling
machine learning
image representation
signal processing
multiscale
pattern recognition
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prior knowledge
latent dirichlet allocation
bayesian analysis