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11/28/2022
Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors
Deconvolution is a widely used strategy to mitigate the blurring and noi...
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01/24/2022
Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion
To overcome inherent hardware limitations of hyperspectral imaging syste...
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01/07/2020
Multitask learning over graphs
The problem of learning simultaneously several related tasks has receive...
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01/02/2020
Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing
The recent evolution of hyperspectral imaging technology and the prolife...
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10/15/2019
Distributed Change Detection in Streaming Graph Signals
Detecting abrupt changes in streaming graph signals is relevant in a var...
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09/20/2019
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis
Multiple Endmember Spectral Mixture Analysis (MESMA) is one of the leadi...
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08/19/2019
A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing
Introducing spatial prior information in hyperspectral imaging (HSI) ana...
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12/05/2017
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing
Sparse hyperspectral unmixing from large spectral libraries has been con...
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11/30/2017
On reducing the communication cost of the diffusion LMS algorithm
The rise of digital and mobile communications has recently made the worl...
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10/11/2017
Decentralized Online Learning with Kernels
We consider multi-agent stochastic optimization problems over reproducin...
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04/28/2017
Adaptation and learning over networks for nonlinear system modeling
In this chapter, we analyze nonlinear filtering problems in distributed ...
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02/13/2017
Multitask diffusion adaptation over networks with common latent representations
Online learning with streaming data in a distributed and collaborative m...
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08/25/2016
Transient performance analysis of zero-attracting LMS
Zero-attracting least-mean-square (ZA-LMS) algorithm has been widely use...
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03/01/2016
Technical Report: Band selection for nonlinear unmixing of hyperspectral images as a maximal clique problem
Kernel-based nonlinear mixing models have been applied to unmix spectral...
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07/02/2015
Distributed image reconstruction for very large arrays in radio astronomy
Current and future radio interferometric arrays such as LOFAR and SKA ar...
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03/18/2015
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images
Mixing phenomena in hyperspectral images depend on a variety of factors ...
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10/14/2014
A graph Laplacian regularization for hyperspectral data unmixing
This paper introduces a graph Laplacian regularization in the hyperspect...
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10/14/2014
A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel Hilbert spaces
This paper presents a stochastic behavior analysis of a kernel-based sto...
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03/03/2014
Blind and fully constrained unmixing of hyperspectral images
This paper addresses the problem of blind and fully constrained unmixing...
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06/22/2013
Online dictionary learning for kernel LMS. Analysis and forward-backward splitting algorithm
Adaptive filtering algorithms operating in reproducing kernel Hilbert sp...
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04/12/2013
Distributed dictionary learning over a sensor network
We consider the problem of distributed dictionary learning, where a set ...
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04/06/2013