11 citations · 20 across the 5 of their papers we have counts for
6 papers
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning
Adrien Lagrange, Mathieu Fauvel, Stéphane May +1
Within a supervised classification framework, labeled data are used to learn classifier parameters. Prior to that, it is generally required to perform dimensionality reduction via…
Bayesian nonparametric Principal Component Analysis
Clément Elvira, Pierre Chainais, Nicolas Dobigeon
Principal component analysis (PCA) is very popular to perform dimension reduction. The selection of the number of significant components is essential but often based on some practi…
Unmixing dynamic PET images with variable specific binding kinetics
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon +3
To analyze dynamic positron emission tomography (PET) images, various generic multivariate data analysis techniques have been considered in the literature, such as principal compon…
Fast Spectral Unmixing based on Dykstra's Alternating Projection
Qi Wei, Jose Bioucas-Dias, Nicolas Dobigeon +1
This paper presents a fast spectral unmixing algorithm based on Dykstra's alternating projection. The proposed algorithm formulates the fully constrained least squares optimization…
Hyperspectral pansharpening: a review
Laetitia Loncan, Luis B. Almeida, José M. Bioucas-Dias +12
Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of…
Variational Semi-blind Sparse Deconvolution with Orthogonal Kernel Bases and its Application to MRFM
Se Un Park, Nicolas Dobigeon, Alfred O. Hero
We present a variational Bayesian method of joint image reconstruction and point spread function (PSF) estimation when the PSF of the imaging device is only partially known. To sol…