Παρακολούθηση
Tales Imbiriba
Tales Imbiriba
Assistant Research Professor at ECE Northeastern University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ece.neu.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Spectral variability in hyperspectral data unmixing: A comprehensive review
RA Borsoi, T Imbiriba, JCM Bermudez, C Richard, J Chanussot, ...
IEEE geoscience and remote sensing magazine 9 (4), 223-270, 2021
1552021
Deep generative endmember modeling: An application to unsupervised spectral unmixing
RA Borsoi, T Imbiriba, JCM Bermudez
IEEE Transactions on Computational Imaging 6, 374-384, 2019
1032019
Super-resolution for hyperspectral and multispectral image fusion accounting for seasonal spectral variability
RA Borsoi, T Imbiriba, JCM Bermudez
IEEE transactions on image processing 29, 116-127, 2019
1002019
A fast multiscale spatial regularization for sparse hyperspectral unmixing
RA Borsoi, T Imbiriba, JCM Bermudez, C Richard
IEEE Geoscience and Remote Sensing Letters 16 (4), 598-602, 2018
952018
Generalized linear mixing model accounting for endmember variability
T Imbiriba, RA Borsoi, JCM Bermudez
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
802018
Low-rank tensor modeling for hyperspectral unmixing accounting for spectral variability
T Imbiriba, RA Borsoi, JCM Bermudez
IEEE Transactions on Geoscience and Remote Sensing 58 (3), 1833-1842, 2019
512019
Nonparametric detection of nonlinearly mixed pixels and endmember estimation in hyperspectral images
T Imbiriba, JCM Bermudez, C Richard, JY Tourneret
IEEE Transactions on Image Processing 25 (3), 1136-1151, 2015
382015
A data dependent multiscale model for hyperspectral unmixing with spectral variability
RA Borsoi, T Imbiriba, JCM Bermudez
IEEE Transactions on Image Processing 29, 3638-3651, 2020
352020
Band selection for nonlinear unmixing of hyperspectral images as a maximal clique problem
T Imbiriba, JCM Bermudez, C Richard
IEEE Transactions on Image Processing 26 (5), 2179-2191, 2017
312017
Deep generative models for library augmentation in multiple endmember spectral mixture analysis
RA Borsoi, T Imbiriba, JCM Bermudez, C Richard
IEEE Geoscience and Remote Sensing Letters 18 (10), 1831-1835, 2020
262020
A low-rank tensor regularization strategy for hyperspectral unmixing
T Imbiriba, RA Borsoi, JCM Bermudez
2018 IEEE Statistical Signal Processing Workshop (SSP), 373-377, 2018
262018
Model-based deep autoencoder networks for nonlinear hyperspectral unmixing
H Li, RA Borsoi, T Imbiriba, P Closas, JCM Bermudez, D Erdoğmuş
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
252021
Personalized federated learning over non-iid data for indoor localization
P Wu, T Imbiriba, J Park, S Kim, P Closas
2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021
222021
A blind multiscale spatial regularization framework for kernel-based spectral unmixing
RA Borsoi, T Imbiriba, JCM Bermudez, C Richard
IEEE Transactions on Image Processing 29, 4965-4979, 2020
222020
Neural systematic binder
G Singh, Y Kim, S Ahn
arXiv preprint arXiv:2211.01177, 2022
212022
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images
T Imbiriba, JCM Bermudez, C Richard, JY Tourneret
2015 23rd European Signal Processing Conference (EUSIPCO), 1651-1655, 2015
182015
Kalman filtering and expectation maximization for multitemporal spectral unmixing
RA Borsoi, T Imbiriba, P Closas, JCM Bermudez, C Richard
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020
172020
Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging
T Imbiriba, JCM Bermudez, JY Tourneret, C Richard
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
162014
Improved hyperspectral unmixing with endmember variability parametrized using an interpolated scaling tensor
RA Borsoi, T Imbiriba, JCM Bermudez
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
152019
Federated learning for indoor localization via model reliability with dropout
J Park, J Moon, T Kim, P Wu, T Imbiriba, P Closas, S Kim
IEEE Communications Letters 26 (7), 1553-1557, 2022
142022
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