165 results on '"Dobigeon, Nicolas"'
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2. Learning Optimal Transport Between Two Empirical Distributions with Normalizing Flows
3. Plug-and-Play Split Gibbs Sampler: embedding deep generative priors in Bayesian inference
4. Superpixels meet essential spectra for fast Raman hyperspectral microimaging
5. Arqueo 2.0. Renovación metodológica de la prospección arqueológica de zonas de montaña
6. Bayesian Source Separation
7. Assessment of Essential Information in the Fourier Domain to Accelerate Raman Hyperspectral Microimaging
8. Assessment of essential information in the Fourier domain to accelerate Raman hyperspectral microimaging
9. Assessment of essential information in the Fourier domain to accelerate Raman hyperspectral microimaging
10. Assessment of essential information in the Fourier domain to accelerate Raman hyperspectral microimaging
11. Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images
12. A Fast Spatial–Spectral NMF for Hyperspectral Unmixing
13. Probabilistic Simplex Component Analysis by Importance Sampling
14. Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems
15. Spatial–Spectral Multiscale Sparse Unmixing for Hyperspectral Images
16. Informed Spatial Regularizations For Fast Fusion Of Astronomical Images
17. A Bayesian Estimation Formulation to Voxel-Based Lesion-Symptom Mapping
18. High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm
19. Sliced-Wasserstein normalizing flows: beyond maximum likelihood training
20. Weighted Residual NMF with Spatial Regularization for Hyperspectral Unmixing
21. A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability
22. Fast Hyperspectral Unmixing Using a Multiscale Sparse Regularization
23. Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures
24. Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures
25. Robust fusion algorithms for unsupervised change detection between multi-band optical images — A comprehensive case study
26. Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms
27. Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling
28. Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability
29. Matrix Cofactorization for Joint Spatial–Spectral Unmixing of Hyperspectral Images
30. Simulated JWST Data Sets for Multispectral and Hyperspectral Image Fusion
31. Fusion of hyperspectral and multispectral infrared astronomical images
32. Unsupervised Change Detection for Multimodal Remote Sensing Images via Coupled Dictionary Learning and Sparse Coding
33. Matrix cofactorization for joint representation learning and supervised classification – Application to hyperspectral image analysis
34. Hyperspectral and Multispectral Image Fusion Under Spectrally Varying Spatial Blurs – Application to High Dimensional Infrared Astronomical Imaging
35. Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images
36. Non‐linear unmixing of hyperspectral images using multiple‐kernel self‐organising maps
37. Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images
38. Factor Analysis of Dynamic PET Images: Beyond Gaussian Noise
39. Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity
40. Efficient Sampling through Variable Splitting-inspired Bayesian Hierarchical Models
41. Bayesian Image Restoration under Poisson Noise and Log-concave Prior
42. Partially Asynchronous Distributed Unmixing of Hyperspectral Images
43. Split-and-Augmented Gibbs Sampler—Application to Large-Scale Inference Problems
44. Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning
45. A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images
46. Reconstruction of Partially Sampled Multiband Images—Application to STEM-EELS Imaging
47. Unmixing dynamic PET images with variable specific binding kinetics
48. A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing
49. SPARSE BAYESIAN BINARY LOGISTIC REGRESSION USING THE SPLIT-AND-AUGMENTED GIBBS SAMPLER
50. Reconstruction Of Partially Sampled EELS Images
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