default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYoann Altmann
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j36]Teresa Klatzer
, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesús María Sanz-Serna, Konstantinos C. Zygalakis:
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling. SIAM J. Imaging Sci. 17(2): 1078-1117 (2024)- [j35]Savvas Melidonis, Matthew Holden, Yoann Altmann, Marcelo Pereyra, Konstantinos C. Zygalakis:
Empirical Bayesian Imaging With Large-Scale Push-Forward Generative Priors. IEEE Signal Process. Lett. 31: 631-635 (2024) - [c50]Abdullah Abdulaziz, Reka Hegedus, Fraser Macdonald, Stephen McLaughlin, Yoann Altmann:
Investigation of Spiking Neural Networks for Joint Detection and Tracking. EUSIPCO 2024: 1681-1685 - 2023
- [j34]Savvas Melidonis, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Konstantinos Zygalakis:
Efficient Bayesian Computation for Low-Photon Imaging Problems. SIAM J. Imaging Sci. 16(3): 1195-1234 (2023) - [c49]Dongrui Shen, Dan Yao, Stephen McLaughlin, Yoann Altmann:
Probabilistic Spiking Neural Networks Training with Expectation - Propagation. CAMSAP 2023: 41-45 - [c48]Dongrui Shen, Stephen McLaughlin, Yoann Altmann:
Expectation-Propagation with Low-Rank Constraints for Linear Inverse Problems. EUSIPCO 2023: 1828-1832 - [i9]Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen:
Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency. CoRR abs/2307.03413 (2023) - [i8]Teresa Klatzer, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesús María Sanz-Serna, Konstantinos C. Zygalakis:
Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling. CoRR abs/2308.09460 (2023) - 2022
- [j33]Dan Yao, Steve McLaughlin, Yoann Altmann:
Patch-Based Image Restoration Using Expectation Propagation. SIAM J. Imaging Sci. 15(1): 192-227 (2022) - [j32]Zeng Li, Yoann Altmann, Jie Chen, Stephen McLaughlin, Susanto Rahardja:
Sparse Linear Spectral Unmixing of Hyperspectral Images Using Expectation-Propagation. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j31]Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen:
Deep Generative Model for Spatial-Spectral Unmixing With Multiple Endmember Priors. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j30]Shuaikai Shi, Min Zhao, Lijun Zhang, Yoann Altmann, Jie Chen:
Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j29]Dan Yao, Steve McLaughlin, Yoann Altmann:
Fast Scalable Image Restoration Using Total Variation Priors and Expectation Propagation. IEEE Trans. Image Process. 31: 5762-5773 (2022) - [c47]Yoann Altmann:
On approximate Bayesian methods for large-scale sparse linear inverse problems. EUSIPCO 2022: 2191-2195 - [c46]Abdullah Abdulaziz, Jianxin Zhou, Angela Di Fulvio, Yoann Altmann, Stephen McLaughlin:
Semi-Supervised Gaussian Mixture Variational Autoencoder for Pulse Shape Discrimination. ICASSP 2022: 3538-3542 - [c45]Dan Yao, Yoann Altmann, Stephen McLaughlin:
Color Image Restoration in the Low Photon-Count Regime Using Expectation Propagation. ICIP 2022: 3126-3130 - 2021
- [j28]Ahmed Karam Eldaly, Ming Fang, Angela Di Fulvio, Steve McLaughlin, Mike E. Davies, Yoann Altmann, Yves Wiaux:
Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography. J. Imaging 7(10): 212 (2021) - [j27]Julien Lesouple, Barbara Pilastre, Yoann Altmann, Jean-Yves Tourneret:
Hypersphere Fitting From Noisy Data Using an EM Algorithm. IEEE Signal Process. Lett. 28: 314-318 (2021) - [j26]Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Steve McLaughlin, Michael E. Davies:
Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences. IEEE Trans. Image Process. 30: 1716-1727 (2021) - [c44]Julien Lesouple, Barbara Pilastre, Yoann Altmann, Jean-Yves Tourneret:
Robust Hypersphere Fitting from Noisy Data Using an EM Algorithm. EUSIPCO 2021: 1-5 - [c43]Abdullah Abdulaziz, Dan Yao, Yoann Altmann, Steve McLaughlin:
Blind deconvolution of images corrupted by Gaussian noise using Expectation Propagation. EUSIPCO 2021: 1970-1974 - [c42]Charles Saunders, William Krska, Julián Tachella, Sheila W. Seidel, Joshua Rapp, John Murray-Bruce, Yoann Altmann, Steve McLaughlin, Vivek K. Goyal:
Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations. ICIP 2021: 2858-2862 - [i7]Dan Yao, Stephen McLaughlin, Yoann Altmann:
Patch-Based Image Restoration using Expectation Propagation. CoRR abs/2106.15327 (2021) - [i6]Dan Yao, Stephen McLaughlin, Yoann Altmann:
Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation. CoRR abs/2110.01585 (2021) - 2020
- [j25]Joshua Rapp, Julián Tachella, Yoann Altmann, Stephen McLaughlin, Vivek K. Goyal:
Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances. IEEE Signal Process. Mag. 37(4): 62-71 (2020) - [j24]Julián Tachella, Yoann Altmann, Miguel Marquez, Henry Arguello Fuentes, Jean-Yves Tourneret, Steve McLaughlin:
Bayesian 3D Reconstruction of Subsampled Multispectral Single-Photon Lidar Signals. IEEE Trans. Computational Imaging 6: 208-220 (2020) - [j23]Quentin Legros, Sylvain Meignen, Steve McLaughlin, Yoann Altmann:
Expectation-Maximization Based Approach to 3D Reconstruction From Single-Waveform Multispectral Lidar Data. IEEE Trans. Computational Imaging 6: 1033-1043 (2020) - [j22]Yoann Altmann, Steve McLaughlin, Michael E. Davies:
Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events. IEEE Trans. Image Process. 29: 2666-2675 (2020) - [c41]Quentin Legros, Steve McLaughlin, Yoann Altmann, Sylvain Meignen:
Stochastic EM algorithm for fast analysis of single waveform multi-spectral Lidar data. EUSIPCO 2020: 2413-2417 - [c40]Dan Yao, Yoann Altmann, Steve McLaughlin, Mike E. Davies:
Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation. EUSIPCO 2020: 2463-2467 - [c39]Zeng Li, Yoann Altmann, Jie Chen, Steve McLaughlin, Susanto Rahardja:
Sparse Spectral Unmixing of Hyperspectral Images using Expectation-Propagation. VCIP 2020: 197-200 - [i5]Joshua Rapp, Charles Saunders, Julián Tachella, John Murray-Bruce, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin, Robin M. A. Dawson, Franco N. C. Wong, Vivek K. Goyal:
Seeing Around Corners with Edge-Resolved Transient Imaging. CoRR abs/2002.07118 (2020) - [i4]Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen McLaughlin, Michael E. Davies:
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences. CoRR abs/2004.09211 (2020) - [i3]K. Craigie, E. M. Gauger, Yoann Altmann, Cristian Bonato:
Resource-efficient adaptive Bayesian tracking of magnetic fields with a quantum sensor. CoRR abs/2008.08891 (2020)
2010 – 2019
- 2019
- [j21]Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Paul McCool, Antonios Perperidis, Kevin Dhaliwal, Stephen McLaughlin:
Bayesian bacterial detection using irregularly sampled optical endomicroscopy images. Medical Image Anal. 57: 18-31 (2019) - [j20]Julián Tachella, Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin, Jean-Yves Tourneret:
Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data. SIAM J. Imaging Sci. 12(1): 521-550 (2019) - [j19]Sylvain Meignen, Quentin Legros, Yoann Altmann, Steve McLaughlin:
A novel algorithm for the identification of dirac impulses from filtered noisy measurements. Signal Process. 162: 268-281 (2019) - [c38]Julián Tachella, Yoann Altmann, Stephen McLaughlin, Jean-Yves Tourneret:
Real-Time 3D Color Imaging with Single-Photon Lidar Data. CAMSAP 2019: 206-210 - [c37]Julián Tachella, Yoann Altmann, Steve McLaughlin, Jean-Yves Tourneret:
Fast Surface Detection in Single-Photon Lidar Waveforms. EUSIPCO 2019: 1-5 - [c36]Yoann Altmann, Alessandro Perelli, Mike E. Davies:
Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing. ICASSP 2019: 5067-5071 - [c35]Julián Tachella, Yoann Altmann, Steve McLaughlin, Jean-Yves Tourneret:
3D Reconstruction Using Single-photon Lidar Data Exploiting the Widths of the Returns. ICASSP 2019: 7815-7819 - [c34]Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Antonios Perperidis, Kevin Dhaliwal, Steve McLaughlin:
Patch-Based Sparse Representation For Bacterial Detection. ISBI 2019: 657-661 - 2018
- [j18]Herwig Wendt, Sébastien Combrexelle, Yoann Altmann, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry:
Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors. SIAM J. Imaging Sci. 11(2): 1294-1316 (2018) - [j17]Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Nikola Krstajic, Tushar Choudhary, Kevin Dhaliwal, Steve McLaughlin:
Deconvolution and Restoration of Optical Endomicroscopy Images. IEEE Trans. Computational Imaging 4(2): 194-205 (2018) - [c33]Julián Tachella, Yoann Altmann, Marcelo Pereyra, Stephen McLaughlin, Jean-Yves Tourneret:
Bayesian Restoration of High-Dimensional Photon-Starved Images. EUSIPCO 2018: 747-751 - [c32]Yoann Altmann, Steve McLaughlin:
Range Estimation from Single-Photon Lidar Data Using a Stochastic Em Approach. EUSIPCO 2018: 1112-1116 - [c31]Cecile Chenot, Mehrdad Yaghoobi, Mike E. Davies, Yoann Altmann:
Anomaly Detection with High Resolution Hyperspectral Observations. GlobalSIP 2018: 963-967 - [c30]Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Steve McLaughlin:
Deconvolution of Irregularly Subsampled Images. SSP 2018: 303-307 - [i2]Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Antonios Perperidis, Kevin Dhaliwal, Steve McLaughlin:
Patch-based Sparse Representation For Bacterial Detection. CoRR abs/1810.12043 (2018) - 2017
- [j16]Antonios Perperidis, Ahsan R. Akram, Yoann Altmann, Paul McCool, Jody Westerfeld, David Wilson, Kevin Dhaliwal, Stephen McLaughlin:
Automated Detection of Uninformative Frames in Pulmonary Optical Endomicroscopy. IEEE Trans. Biomed. Eng. 64(1): 87-98 (2017) - [j15]Yoann Altmann, Reuben Aspden, Miles J. Padgett, Steve McLaughlin:
A Bayesian Approach to Denoising of Single-Photon Binary Images. IEEE Trans. Computational Imaging 3(3): 460-471 (2017) - [j14]Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gregory E. Newstadt, Gerald S. Buller, Steve McLaughlin, Alfred O. Hero III:
Robust Spectral Unmixing of Sparse Multispectral Lidar Waveforms Using Gamma Markov Random Fields. IEEE Trans. Computational Imaging 3(4): 658-670 (2017) - [c29]Yoann Altmann, Steve McLaughlin, Miles J. Padgett:
Unsupervised restoration of subsampled images constructed from geometric and binomial data. CAMSAP 2017: 1-5 - [c28]Abderrahim Halimi, Peter Connolly, Ximing Ren, Yoann Altmann, István Gyöngy, Robert K. Henderson, Stephen McLaughlin, Gerald S. Buller:
Restoration of depth and intensity images using a graph laplacian regularization. CAMSAP 2017: 1-5 - [c27]Yoann Altmann, Rachael Tobin, Aurora Maccarone, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin:
Bayesian restoration of reflectivity and range profiles from subsampled single-photon multispectral Lidar data. EUSIPCO 2017: 1410-1414 - [i1]Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Nikola Krstajic, Tushar Choudhary, Kevin Dhaliwal, Stephen McLaughlin:
Deconvolution and Restoration of Optical Endomicroscopy Images. CoRR abs/1701.08107 (2017) - 2016
- [j13]Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin:
Robust Bayesian Target Detection Algorithm for Depth Imaging From Sparse Single-Photon Data. IEEE Trans. Computational Imaging 2(4): 456-467 (2016) - [j12]Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin:
Lidar Waveform-Based Analysis of Depth Images Constructed Using Sparse Single-Photon Data. IEEE Trans. Image Process. 25(5): 1935-1946 (2016) - [c26]Abderrahim Halimi, Yoann Altmann, Aongus McCarthy, Ximing Ren, Rachael Tobin, Gerald S. Buller, Steve McLaughlin:
Restoration of intensity and depth images constructed using sparse single-photon data. EUSIPCO 2016: 86-90 - [c25]Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin:
Joint spectral clustering and range estimation for 3D scene reconstruction using multispectral lidar waveforms. EUSIPCO 2016: 513-517 - [c24]Sébastien Combrexelle, Herwig Wendt, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin, Patrice Abry:
Bayesian estimation for the local assessment of the multifractality parameter of multivariate time series. EUSIPCO 2016: 1518-1522 - [c23]Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin:
Target detection for depth imaging using sparse single-photon data. ICASSP 2016: 3256-3260 - [c22]Sébastien Combrexelle, Herwig Wendt, Yoann Altmann, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry:
A Bayesian framework for the multifractal analysis of images using data augmentation and a whittle approximation. ICASSP 2016: 4224-4228 - [c21]Sébastien Combrexelle, Herwig Wendt, Yoann Altmann, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry:
Bayesian joint estimation of the multifractality parameter of image patches using gamma Markov Random Field priors. ICIP 2016: 4468-4472 - [c20]Sébastien Combrexelle, Herwig Wendt, Jean-Yves Tourneret, Yoann Altmann, Steve McLaughlin, Patrice Abry:
A Bayesian approach for the multifractal analysis of spatio-temporal data. IWSSIP 2016: 1-4 - [c19]Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin:
Joint range estimation and spectral classification for 3D scene reconstruction using multispectral Lidar waveforms. SSP 2016: 1-5 - [c18]Paul McCool, Yoann Altmann, Antonios Perperidis, Steve McLaughlin:
Robust Markov Random Field outlier detection and removal in subsampled images. SSP 2016: 1-5 - [c17]Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gregory E. Newstadt, Gerald S. Buller, Stephen McLaughlin, Alfred O. Hero III:
Robust spectral unmixing of multispectral Lidar waveforms. WHISPERS 2016: 1-5 - 2015
- [j11]Yoann Altmann, Steve McLaughlin, Alfred O. Hero III:
Robust Linear Spectral Unmixing Using Anomaly Detection. IEEE Trans. Computational Imaging 1(2): 74-85 (2015) - [j10]Yoann Altmann, Marcelo Pereyra, Stephen McLaughlin:
Bayesian Nonlinear Hyperspectral Unmixing With Spatial Residual Component Analysis. IEEE Trans. Computational Imaging 1(3): 174-185 (2015) - [j9]Yoann Altmann, Marcelo Pereyra, José M. Bioucas-Dias:
Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing. IEEE Trans. Image Process. 24(12): 5800-5811 (2015) - [j8]Yoann Altmann, Andrew M. Wallace, Steve McLaughlin:
Spectral Unmixing of Multispectral Lidar Signals. IEEE Trans. Signal Process. 63(20): 5525-5534 (2015) - [c16]Yoann Altmann, Marcelo Pereyra, Steve McLaughlin:
Nonlinear spectral unmixing using residual component analysis and a Gamma Markov random field. CAMSAP 2015: 165-168 - [c15]Yoann Altmann, Steve McLaughlin, Alfred O. Hero III:
Robust linear spectral unmixing using outlier detection. ICASSP 2015: 2464-2468 - [c14]Yoann Altmann, Marcelo Pereyra, José M. Bioucas-Dias:
Linear spectral unmixing using collaborative sparse regression and correlated supports. WHISPERS 2015: 1-4 - 2014
- [j7]Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin:
A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 1869-1878 (2014) - [j6]Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret:
Residual Component Analysis of Hyperspectral Images - Application to Joint Nonlinear Unmixing and Nonlinearity Detection. IEEE Trans. Image Process. 23(5): 2148-2158 (2014) - [j5]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm. IEEE Trans. Image Process. 23(6): 2663-2675 (2014) - [c13]Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret:
Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection. ICASSP 2014: 3166-3170 - [c12]Yoann Altmann, Steve McLaughlin, Nicolas Dobigeon:
Sampling from a multivariate Gaussian distribution truncated on a simplex: A review. SSP 2014: 113-116 - [c11]Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin:
Nonlinear unmixing of vegetated areas: A model comparison based on simulated and real hyperspectral data. WHISPERS 2014: 1-4 - 2013
- [b1]Yoann Altmann:
Nonlinear unmixing of hyperspectral images. (Démélange non-linéaire d'images hyperspectrales). National Polytechnic Institute of Toulouse, France, 2013 - [j4]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Nonlinearity Detection in Hyperspectral Images Using a Polynomial Post-Nonlinear Mixing Model. IEEE Trans. Image Process. 22(4): 1267-1276 (2013) - [j3]Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret:
Nonlinear Spectral Unmixing of Hyperspectral Images Using Gaussian Processes. IEEE Trans. Signal Process. 61(10): 2442-2453 (2013) - [c10]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Bayesian unsupervised unmixing of hyperspectral images using a post-nonlinear model. EUSIPCO 2013: 1-5 - [c9]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, José Carlos M. Bermudez:
A robust test for nonlinear mixture detection in hyperspectral images. ICASSP 2013: 2149-2153 - [c8]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin:
Nonlinear hyperspectral unmixing using Gaussian processes. WHISPERS 2013: 1-4 - 2012
- [j2]Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret:
Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery. IEEE Trans. Image Process. 21(6): 3017-3025 (2012) - [c7]Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret:
Unsupervised nonlinear unmixing of hyperspectral images using Gaussian processes. ICASSP 2012: 1249-1252 - [c6]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Detecting nonlinear mixtures in hyperspectral images. WHISPERS 2012: 1-4 - 2011
- [j1]Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model. IEEE Trans. Geosci. Remote. Sens. 49(11): 4153-4162 (2011) - [c5]Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret:
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery. ICASSP 2011: 1009-1012 - [c4]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin:
Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares. IGARSS 2011: 1151-1154 - [c3]Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret:
A post nonlinear mixing model for hyperspectral images unmixing. IGARSS 2011: 1882-1885 - [c2]Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Unmixing hyperspectral images using the generalized bilinear model. IGARSS 2011: 1886-1889 - [c1]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Bilinear models for nonlinear unmixing of hyperspectral images. WHISPERS 2011: 1-4
Coauthor Index
[c50] [c49] [c48] [j33] [j32] [j29] [c46] [c45] [j28] [j26] [c43] [c42] [i7] [i6] [j25] [j24] [j23] [j22] [c41] [c40] [c39] [i5] [i4] [j21] [j20] [j19] [c38] [c37] [c35] [c34] [j18] [j17] [c33] [c32] [c30] [i2] [j16] [j15] [j14] [c29] [c28] [c27] [i1] [j13] [j12] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [j11] [j10] [j8] [c16] [c15] [j6] [c13] [c12] [j3] [c8] [c7] [c4]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
