MAP-based image denoising with structured sparsity and Gaussian scale mixture
Sign Up to like & getrecommendations! Published in 2018 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-018-0692-5
Abstract: Image denoising is a classical problem in image processing and is known to be closely related to sparse coding. In this work, based on the key observation that the probability density function (PDF) of image… read more here.
Keywords: image; scale mixture; sparse; image denoising ... See more keywords
AdamB: Decoupled Bayes by Backprop With Gaussian Scale Mixture Prior
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3203484
Abstract: Overfitting of neural networks to training data is one of the most significant problems in machine learning. Bayesian neural networks (BNNs) are known to be robust against overfitting owing to their ability to model parameter… read more here.
Keywords: bayes backprop; decoupled bayes; adamb; gaussian scale ... See more keywords
A Novel ISAR Imaging Method Using Pattern-Coupled Laplacian Scale Mixture Prior
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.2982563
Abstract: We develop a novel method for high-resolution inverse synthetic aperture radar (ISAR) imaging by exploring the block-sparse structure inherent in the ISAR image. First, the Laplacian scale mixture (LSM) prior is utilized to encode the… read more here.
Keywords: method; isar imaging; laplacian scale; scale mixture ... See more keywords
Deep Gaussian Scale Mixture Prior for Image Reconstruction.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3265103
Abstract: Image reconstruction from partial observations has attracted increasing attention. Conventional image reconstruction methods with hand-crafted priors often fail to recover fine image details due to the poor representation capability of the hand-crafted priors. Deep learning… read more here.
Keywords: gaussian scale; image reconstruction; image; scale mixture ... See more keywords
Upper Bounds for the Capacity for Severely Fading MIMO Channels under a Scale Mixture Assumption
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DOI: 10.3390/e23070845
Abstract: A cornerstone in the modeling of wireless communication is MIMO systems, where a complex matrix variate normal assumption is often made for the underlying distribution of the propagation matrix. A popular measure of information, namely… read more here.
Keywords: assumption; capacity; scale mixture; mimo ... See more keywords