298 citations · 934 across the 23 of their papers we have counts for
5 papers · 1 filter
A Plug-and-Play Priors Framework for Hyperspectral Unmixing
Min zhao, Xiuheng Wang, Jie Chen +1
Spectral unmixing is a widely used technique in hyperspectral image processing and analysis. It aims to separate mixed pixels into the component materials and their corresponding a…
Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors
Min Zhao, Tiande Gao, Jie Chen +1
Nowadays, nonnegative matrix factorization (NMF) based methods have been widely applied to blind spectral unmixing. Introducing proper regularizers to NMF is crucial for mathematic…
Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter Estimation
Xiuheng Wang, Jie Chen, Qi Wei +1
Hyperspectral image (HSI) super-resolution is commonly used to overcome the hardware limitations of existing hyperspectral imaging systems on spatial resolution. It fuses a low-res…
Affine Combination of Diffusion Strategies over Networks
Danqi Jin, Jie Chen, Cedric Richard +2
Diffusion adaptation is a powerful strategy for distributed estimation and learning over networks. Motivated by the concept of combining adaptive filters, this work proposes a comb…
Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning
Roula Nassif, Stefan Vlaski, Cedric Richard +2
The problem of learning simultaneously several related tasks has received considerable attention in several domains, especially in machine learning with the so-called multitask lea…