Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability by Borsoi, Ricardo Augusto, Imbiriba, Tales, Bermudez, Jose Carlos Moreira

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A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability by Borsoi, Ricardo Augusto, Imbiriba, Tales, Bermudez, Jose Carlos Moreira

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Bayesian Data Fusion With Shared Priors by Wu, Peng, Imbiriba, Tales, Elvira, Victor, Closas, Pau

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Augmented Physics-Based Machine Learning for Navigation and Tracking by Imbiriba, Tales, Straka, Ondrej, Dunik, Jindrich, Closas, Pau

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A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing by Borsoi, Ricardo Augusto, Imbiriba, Tales, Bermudez, Jose Carlos Moreira, Richard, Cedric

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Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing by Borsoi, Ricardo Augusto, Imbiriba, Tales, Bermudez, Jose Carlos Moreira

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Federated Learning for Indoor Localization via Model Reliability With Dropout by Park, Junha, Moon, Jiseon, Kim, Taekyoon, Wu, Peng, Imbiriba, Tales, Closas, Pau, Kim, Sunwoo

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Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks by Borsoi, Ricardo A., Imbiriba, Tales, Closas, Pau

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Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing by Li, Haoqing, Borsoi, Ricardo A., Imbiriba, Tales, Closas, Pau, Bermudez, Jose C. M., Erdogmus, Deniz

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Augmented Physics-Based Models for High-Order Markov Filtering by Tang, Shuo, Imbiriba, Tales, Duník, Jindřich, Straka, Ondřej, Closas, Pau

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Band Selection for Nonlinear Unmixing of Hyperspectral Images as a Maximal Clique Problem by Imbiriba, Tales, Moreira Bermudez, Jose Carlos, Richard, Cedric

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Jammer classification with Federated Learning by Wu, Peng, Calatrava, Helena, Imbiriba, Tales, Closas, Pau

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A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing by Borsoi, Ricardo Augusto, Imbiriba, Tales, Bermudez, Jose Carlos Moreira, Richard, Cedric

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Jamming Source Localization Using Augmented Physics-Based Model by Nardin, Andrea, Imbiriba, Tales, Closas, Pau

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On Parametric Misspecified Bayesian Cramér-Rao Bound: An Application to Linear/Gaussian Systems by Tang, Shuo, LaMountain, Gerald, Imbiriba, Tales, Closas, Pau

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Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis by Borsoi, Ricardo Augusto, Imbiriba, Tales, Bermudez, Jose Carlos Moreira, Richard, Cedric

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Crowdsourced Jammer Localization Using APBMs: Performance Analysis Considering Observations Disruption by Nardin, Andrea, Imbiriba, Tales, Closas, Pau

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Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing by Borsoi, Ricardo A., Imbiriba, Tales, Closas, Pau, Bermudez, Jose Carlos M., Richard, Cedric

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Efficient TMS-Based Motor Cortex Mapping Using Gaussian Process Active Learning by Faghihpirayesh, Razieh, Yarossi, Mathew, Imbiriba, Tales, Brooks, Dana H., Tunik, Eugene, Erdogmus, Deniz

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Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability by Imbiriba, Tales, Borsoi, Ricardo Augusto, Bermudez, Jose Carlos Moreira

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