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Found 8 papers, 0 papers with code
Online Graph-Based Change Point Detection in Multiband Image Sequences
To effectively perform change-point detection in multitemporal images, it is important to devise techniques that are computationally efficient for processing large datasets, and that do not require knowledge about the nature of the changes.
Online change-point detection with kernels
Change-points in time series data are usually defined as the time instants at which changes in their properties occur.
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation
This article investigates the quality of the estimator of the linear Monge mapping between distributions.
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters
Image reconstruction algorithms for radio interferometry are challenged to scale well with TeraByte image sizes never seen before.
Distributed image reconstruction for very large arrays in radio astronomy
Current and future radio interferometric arrays such as LOFAR and SKA are characterized by a paradox.
A graph Laplacian regularization for hyperspectral data unmixing
This paper introduces a graph Laplacian regularization in the hyperspectral unmixing formulation.
PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry
The algorithm relies on an iterative process, which alternates estimation of polychromatic images and of complex visibilities.
Blind and fully constrained unmixing of hyperspectral images
This paper addresses the problem of blind and fully constrained unmixing of hyperspectral images.
