421 citations · 2.4k across the 51 of their papers we have counts for
9 papers · 1 filter
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…
Online Graph-Based Change Point Detection in Multiband Image Sequences
Ricardo Augusto Borsoi, Cédric Richard, André Ferrari +2
The automatic detection of changes or anomalies between multispectral and hyperspectral images collected at different time instants is an active and challenging research topic. To…
Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion with Inter-Image Variability
Ricardo Augusto Borsoi, Clémence Prévost, Konstantin Usevich +3
Coupled tensor approximation has recently emerged as a promising approach for the fusion of hyperspectral and multispectral images, reconciling state of the art performance with st…
Diffusion LMS with Communication Delays: Stability and Performance Analysis
Fei Hua, Roula Nassif, Cédric Richard +2
We study the problem of distributed estimation over adaptive networks where communication delays exist between nodes. In particular, we investigate the diffusion Least-Mean- Square…
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…
Online change-point detection with kernels
André Ferrari, Cédric Richard, Anthony Bourrier +1
Change-points in time series data are usually defined as the time instants at which changes in their properties occur. Detecting change-points is critical in a number of applicatio…