Ricardo Augusto Borsoi

Orcid: 0000-0001-6036-2124

According to our database1, Ricardo Augusto Borsoi authored at least 50 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Generalized Multiscale Bundle-Based Hyperspectral Sparse Unmixing Algorithm.
IEEE Geosci. Remote. Sens. Lett., 2024

KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators.
CoRR, 2024

Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis.
CoRR, 2024

Non-parametric Online Change Point Detection on Riemannian Manifolds.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Riemannian Diffusion Adaptation over Graphs with Application to Online Distributed PCA.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Variational Approach for Robust Online Fusion of Multiresolution Multispectral Images.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics.
Dataset, January, 2023

Dynamical Hyperspectral Unmixing With Variational Recurrent Neural Networks.
IEEE Trans. Image Process., 2023

Deep Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE Trans. Geosci. Remote. Sens., 2023

Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing.
IEEE Trans. Computational Imaging, 2023

Closed-Form Solution to the Multichannel Wiener Filter With Interaural Level Difference Preservation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Change Point Detection with Neural Online Density-Ratio Estimator.
Proceedings of the IEEE International Conference on Acoustics, 2023

Coupled CP Tensor Decomposition with Shared and Distinct Components for Multi-Task Fmri Data Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Deep Disentangled Approach for Interpretable Hyperspectral Unmixing.
Proceedings of the IEEE International Conference on Acoustics, 2023

Online Change Point Detection on Riemannian Manifolds with Karcher Mean Estimates.
Proceedings of the 31st European Signal Processing Conference, 2023

DIstributed Change Point Detection in Streaming Manifold-Valued Signals Over Graphs.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

On the Impact of Sampling on Deep Sequential State Estimation.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Sentinel-2 Images from Oroville Dam and Charles River.
Dataset, September, 2022

Graph Topology Inference With Derivative-Reproducing Property in RKHS: Algorithm and Convergence Analysis.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image.
SIAM J. Imaging Sci., 2022

Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2022

Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2022

Robust parameter strategy for Wiener-based binaural noise reduction methods in hearing aids.
Biomed. Signal Process. Control., 2022

Deep Image Fusion Accounting for Inter-Image Variability.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data.
IEEE Trans. Computational Imaging, 2021

Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis.
IEEE Geosci. Remote. Sens. Lett., 2021

Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE J. Sel. Top. Signal Process., 2021

Robust parameter design for Wiener-based binaural noise reduction methods in hearing aids.
CoRR, 2021

Convergence Analysis of the Graph-Topology-Inference Kernel LMS Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Homogeneity-Based Multiscale Hyperspectral Image Representation for Sparse Spectral Unmixing.
Proceedings of the IEEE International Conference on Acoustics, 2021

Coupled Tensor Models Accounting for Inter-image Variability.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
A Blind Multiscale Spatial Regularization Framework for Kernel-Based Spectral Unmixing.
IEEE Trans. Image Process., 2020

A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability.
IEEE Trans. Image Process., 2020

Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability.
IEEE Trans. Image Process., 2020

Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability.
IEEE Trans. Geosci. Remote. Sens., 2020

Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing.
IEEE Trans. Computational Imaging, 2020

Robust online video super-resolution using an efficient alternating projections scheme.
Signal Process., 2020

Online Graph Topology Inference with Kernels For Brain Connectivity Estimation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Online Kernel-Based Graph Topology Identification with Partial-Derivative-Imposed Sparsity.
Proceedings of the 28th European Signal Processing Conference, 2020

Online Graph-Based Change Point Detection in Multiband Image Sequences.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
A New Adaptive Video Super-Resolution Algorithm With Improved Robustness to Innovations.
IEEE Trans. Image Process., 2019

A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2019

Improved Hyperspectral Unmixing with Endmember Variability Parametrized Using an Interpolated Scaling Tensor.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
On the Performance and Implementation of Parallax Free Video See-Through Displays.
IEEE Trans. Vis. Comput. Graph., 2018

Super-resolution reconstruction of electrical impedance tomography images.
Comput. Electr. Eng., 2018

A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Generalized Linear Mixing Model Accounting for Endmember Variability.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing.
CoRR, 2017

A new adaptive video SRR algorithm with improved robustness to innovations.
Proceedings of the 25th European Signal Processing Conference, 2017


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