Unsupervised image segmentation with Gaussian pairwise Markov fields
H Gangloff, JB Courbot, E Monfrini, C Collet - Computational Statistics & …, 2021 - Elsevier
Modeling strongly correlated random variables is a critical task in the context of latent
variable models. A new probabilistic model, called Gaussian Pairwise Markov Field, is …
variable models. A new probabilistic model, called Gaussian Pairwise Markov Field, is …
Pairwise Markov fields for segmentation in astronomical hyperspectral images
We consider the problem of segmentation in noisy, blurred astronomical hyperspectral
images (HSI). Recent methods based on an hypothesis-testing framework handle the …
images (HSI). Recent methods based on an hypothesis-testing framework handle the …
Credibility intervals for the reproduction number of the Covid-19 pandemic using proximal Langevin samplers
Monitoring the time evolution of the intensity of the Covid-19 pandemic within the pandemic
and despite the limited quality of the data is both crucial and challenging. In the context of a …
and despite the limited quality of the data is both crucial and challenging. In the context of a …
Parameter-free and fast nonlinear piecewise filtering: application to experimental physics
Numerous fields of nonlinear physics, very different in nature, produce signals and images
that share the common feature of being essentially constituted of piecewise homogeneous …
that share the common feature of being essentially constituted of piecewise homogeneous …
Sprite: 3-d sparse radar imaging technique
T Benoudiba-Campanini… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
An original 3-D high resolution radar imaging approach, called SPRITE for “SParse Radar
Imaging TEchnique,” is presented. It incorporates in an original way the available prior …
Imaging TEchnique,” is presented. It incorporates in an original way the available prior …
Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number
Providing a level of confidence in the estimation of epidemiological indicators during
pandemics is essential to inform decision makers. Monitoring the time evolution of the …
pandemics is essential to inform decision makers. Monitoring the time evolution of the …
Hyperparameter selection for Discrete Mumford–Shah
This work focuses on a parameter-free joint piecewise smooth image denoising and contour
detection. Formulated as the minimization of a discrete Mumford–Shah functional and …
detection. Formulated as the minimization of a discrete Mumford–Shah functional and …
On the primal and dual formulations of the discrete Mumford-Shah functional
N Pustelnik - … 2023-2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
This work focuses on the discrete Mumford-Shah (D-MS) functional which aims to perform
jointly image reconstruction and contour detection but at the price of minimizing a non …
jointly image reconstruction and contour detection but at the price of minimizing a non …
Pairwise and hidden Markov random fields in image segmentation
JB Courbot, V Mazet - 2020 28th European Signal Processing …, 2021 - ieeexplore.ieee.org
The purpose of this paper is to identify the similarities and differences between two image
restoration approaches based on Markov field modeling. The first one is the well-known …
restoration approaches based on Markov field modeling. The first one is the well-known …
Quantitative Restoration of Noisy Colour Texture Segmentation Benchmark Images using State-of-the-Art Algorithm
Texture segmentation is a well-known research domain and a large number of researchers
are working on it across the globe due to its wide varieties of applications in various …
are working on it across the globe due to its wide varieties of applications in various …