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Provably robust blind source separation of linear-quadratic near-separable mixtures
In this work, we consider the problem of blind source separation (BSS) b...
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High-dimensional Gaussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm
Efficient sampling from a high-dimensional Gaussian distribution is an o...
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Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling
This paper discusses the reconstruction of partially sampled spectrum-im...
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Hyperspectral and multispectral image fusion under spectrally varying spatial blurs – Application to high dimensional infrared astronomical imaging
Hyperspectral imaging has become a significant source of valuable data f...
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Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images
Hyperspectral unmixing aims at identifying a set of elementary spectra a...
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Asymptotically exact data augmentation: models, properties and algorithms
Data augmentation, by the introduction of auxiliary variables, has becom...
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Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis
Supervised classification and representation learning are two widely use...
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Factor analysis of dynamic PET images: beyond Gaussian noise
Factor analysis has proven to be a relevant tool for extracting tissue t...
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Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images
Archetypal scenarios for change detection generally consider two images ...
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Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity
Spectral variability is one of the major issue when conducting hyperspec...
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Split-and-augmented Gibbs sampler - Application to large-scale inference problems
Recently, a new class of Markov chain Monte Carlo (MCMC) algorithms took...
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Robust fusion algorithms for unsupervised change detection between multi-band optical images - A comprehensive case study
Unsupervised change detection techniques are generally constrained to tw...
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Reconstruction of partially sampled multi-band images - Application to STEM-EELS imaging
Electron microscopy has shown to be a very powerful tool to map the chem...
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Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning
Within a supervised classification framework, labeled data are used to l...
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Bayesian nonparametric Principal Component Analysis
Principal component analysis (PCA) is very popular to perform dimension ...
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Unmixing dynamic PET images with variable specific binding kinetics
To analyze dynamic positron emission tomography (PET) images, various ge...
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Robust Fusion of Multi-Band Images with Different Spatial and Spectral Resolutions for Change Detection
Archetypal scenarios for change detection generally consider two images ...
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Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: a Fusion-Based Approach
Change detection is one of the most challenging issues when analyzing re...
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Bayesian selection for the l2-Potts model regularization parameter: 1D piecewise constant signal denoising
Piecewise constant denoising can be solved either by deterministic optim...
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R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation
This paper proposes a robust fast multi-band image fusion method to merg...
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Multi-Band Image Fusion Based on Spectral Unmixing
This paper presents a multi-band image fusion algorithm based on unsuper...
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Bayesian anti-sparse coding
Sparse representations have proven their efficiency in solving a wide cl...
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Online Unmixing of Multitemporal Hyperspectral Images accounting for Spectral Variability
Hyperspectral unmixing is aimed at identifying the reference spectral si...
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Fast Spectral Unmixing based on Dykstra's Alternating Projection
This paper presents a fast spectral unmixing algorithm based on Dykstra'...
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Combining local regularity estimation and total variation optimization for scale-free texture segmentation
Texture segmentation constitutes a standard image processing task, cruci...
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Hyperspectral pansharpening: a review
Pansharpening aims at fusing a panchromatic image with a multispectral o...
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Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation
This paper proposes a fast multi-band image fusion algorithm, which comb...
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Bayesian estimation of the multifractality parameter for image texture using a Whittle approximation
Texture characterization is a central element in many image processing a...
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Hyperspectral and Multispectral Image Fusion based on a Sparse Representation
This paper presents a variational based approach to fusing hyperspectral...
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Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization
This paper introduces a robust mixing model to describe hyperspectral da...
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Joint Bayesian estimation of close subspaces from noisy measurements
In this letter, we consider two sets of observations defined as subspace...
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Bayesian Fusion of Multi-Band Images
In this paper, a Bayesian fusion technique for remotely sensed multi-ban...
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Nonlinear unmixing of hyperspectral images: models and algorithms
When considering the problem of unmixing hyperspectral images, most of t...
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Variational Semi-blind Sparse Deconvolution with Orthogonal Kernel Bases and its Application to MRFM
We present a variational Bayesian method of joint image reconstruction a...
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Nonlinear spectral unmixing of hyperspectral images using Gaussian processes
This paper presents an unsupervised algorithm for nonlinear unmixing of ...
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Semi-blind Sparse Image Reconstruction with Application to MRFM
We propose a solution to the image deconvolution problem where the convo...
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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
Imaging spectrometers measure electromagnetic energy scattered in their ...
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Minimum mean square distance estimation of a subspace
We consider the problem of subspace estimation in a Bayesian setting. Si...
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