Fast Scalable Image Restoration Using Total Variation Priors and Expectation Propagation | 0 | 0.34 | 2022 |
Hypersphere Fitting From Noisy Data Using an EM Algorithm | 0 | 0.34 | 2021 |
Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography | 0 | 0.34 | 2021 |
Stochastic Em Algorithm For Fast Analysis Of Single Waveform Multi-Spectral Lidar Data | 0 | 0.34 | 2020 |
Joint Robust Linear Regression And Anomaly Detection In Poisson Noise Using Expectation-Propagation | 0 | 0.34 | 2020 |
Bayesian 3D Reconstruction of Subsampled Multispectral Single-Photon Lidar Signals | 2 | 0.37 | 2020 |
Real-Time 3D Color Imaging with Single-Photon Lidar Data | 0 | 0.34 | 2019 |
Bayesian bacterial detection using irregularly sampled optical endomicroscopy images. | 0 | 0.34 | 2019 |
A Novel Algorithm for the Identification of Dirac Impulses from Filtered Noisy Measurements | 0 | 0.34 | 2019 |
Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data. | 4 | 0.46 | 2019 |
Expectation-Propagation Algorithms For Linear Regression With Poisson Noise: Application To Photon-Limited Spectral Unmixing | 0 | 0.34 | 2019 |
3d Reconstruction Using Single-Photon Lidar Data Exploiting The Widths Of The Returns | 0 | 0.34 | 2019 |
Fast Surface Detection In Single-Photon Lidar Waveforms | 0 | 0.34 | 2019 |
Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors. | 0 | 0.34 | 2018 |
Deconvolution and Restoration of Optical Endomicroscopy Images. | 0 | 0.34 | 2018 |
Bayesian Restoration of High-Dimensional Photon-Starved Images. | 0 | 0.34 | 2018 |
Deconvolution of Irregularly Subsampled Images | 0 | 0.34 | 2018 |
Anomaly Detection with High Resolution Hyperspectral Observations. | 0 | 0.34 | 2018 |
Range Estimation from Single-Photon Lidar Data Using a Stochastic Em Approach. | 0 | 0.34 | 2018 |
Robust Spectral Unmixing of Sparse Multispectral Lidar Waveforms Using Gamma Markov Random Fields. | 2 | 0.40 | 2017 |
Restoration of depth and intensity images using a graph laplacian regularization | 0 | 0.34 | 2017 |
Unsupervised Restoration Of Subsampled Images Constructed From Geometric And Binomial Data | 0 | 0.34 | 2017 |
A Bayesian Approach to Denoising of Single-Photon Binary Images. | 1 | 0.36 | 2017 |
Automated Detection of Uninformative Frames in Pulmonary Optical Endomicroscopy. | 3 | 0.71 | 2017 |
Bayesian restoration of reflectivity and range profiles from subsampled single-photon multispectral Lidar data. | 0 | 0.34 | 2017 |
A Bayesian approach for the multifractal analysis of spatio-temporal data | 0 | 0.34 | 2016 |
Bayesian estimation for the local assessment of the multifractality parameter of multivariate time series. | 0 | 0.34 | 2016 |
Restoration of intensity and depth images constructed using sparse single-photon data. | 0 | 0.34 | 2016 |
Robust Bayesian Target Detection Algorithm for Depth Imaging From Sparse Single-Photon Data. | 2 | 0.38 | 2016 |
Nonlinear spectral unmixing using residual component analysis and a Gamma Markov random field | 0 | 0.34 | 2015 |
Robust Linear Spectral Unmixing Using Outlier Detection | 0 | 0.34 | 2015 |
Linear spectral unmixing using collaborative sparse regression and correlated supports | 0 | 0.34 | 2015 |
Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing | 6 | 0.41 | 2015 |
Spectral unmixing of Multispectral Lidar signals | 6 | 0.47 | 2015 |
Robust Linear Spectral Unmixing Using Anomaly Detection | 12 | 0.54 | 2015 |
Bayesian Nonlinear Hyperspectral Unmixing With Spatial Residual Component Analysis | 10 | 0.47 | 2015 |
Sampling from a multivariate Gaussian distribution truncated on a simplex: A review | 6 | 0.46 | 2014 |
Residual Component Analysis of Hyperspectral Images—Application to Joint Nonlinear Unmixing and Nonlinearity Detection | 23 | 0.88 | 2014 |
A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data | 6 | 0.45 | 2014 |
Nonlinear Unmixing Of Vegetated Areas: A Model Comparison Based On Simulated And Real Hyperspectral Data | 0 | 0.34 | 2014 |
Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm | 36 | 1.26 | 2014 |
Bayesian unsupervised unmixing of hyperspectral images using a post-nonlinear model | 0 | 0.34 | 2013 |
Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model. | 20 | 0.89 | 2013 |
A Robust Test For Nonlinear Mixture Detection In Hyperspectral Images | 5 | 0.51 | 2013 |
Nonlinear Hyperspectral Unmixing Using Gaussian Processes | 0 | 0.34 | 2013 |
Detecting nonlinear mixtures in hyperspectral images | 0 | 0.34 | 2012 |
Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery | 62 | 2.08 | 2012 |
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery | 9 | 0.53 | 2011 |
Bilinear models for nonlinear unmixing of hyperspectral images | 14 | 0.81 | 2011 |