Gilles Delmaire

Orcid: 0000-0003-4425-4507

According to our database1, Gilles Delmaire authored at least 31 papers between 2000 and 2024.

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

Timeline

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Bibliography

2024
A Framework for Compressed Weighted Nonnegative Matrix Factorization.
IEEE Trans. Signal Process., 2024

Locally-Rank-One-Based Joint Unmixing and Demosaicing Methods for Snapshot Spectral Images. Part I: A Matrix-Completion Framework.
IEEE Trans. Computational Imaging, 2024

Locally-Rank-One-Based Joint Unmixing and Demosaicing Methods for Snapshot Spectral Images. Part II: A Filtering-Based Framework.
IEEE Trans. Computational Imaging, 2024

Towards Automatic Butterfly Species Recognition Using a Single Spatio-Hyperspectral Image.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Joint Unmixing And Demosaicing Methods For Snapshot Spectral Images.
Proceedings of the IEEE International Conference on Acoustics, 2023

Advancements in Video-Based Insect Tracking: A Bibliometric Analysis to A Short Survey.
Proceedings of the 2023 7th International Conference on Advances in Image Processing, 2023

2022
Filtering-Based Endmember Identification Method For Snapshot Spectral Images.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

2021
Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves.
Sensors, 2021

Random Projection Streams for (Weighted) Nonnegative Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2021

In Situ Calibration of Cross-Sensitive Sensors in Mobile Sensor Arrays Using Fast Informed Non-Negative Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Gaussian Compression Stream: Principle and Preliminary Results.
CoRR, 2020

2019
Informed Weighted Non-Negative Matrix Factorization Using <i>αβ</i>-Divergence Applied to Source Apportionment.
Entropy, 2019

How to Apply Random Projections to Nonnegative Matrix Factorization with Missing Entries?
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Informed Nonnegative Matrix Factorization Methods for Mobile Sensor Network Calibration.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Faster-than-fast NMF using random projections and Nesterov iterations.
CoRR, 2018

2017
Fast Nonnegative Matrix Factorization and Completion Using Nesterov Iterations.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Environmental signal processing: new trends and applications.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Robust informed split gradient NMF using αβ-divergence for source apportionment.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Informed Split Gradient Non-negative Matrix factorization using Huber cost function for source apportionment.
Proceedings of the 2016 IEEE International Symposium on Signal Processing and Information Technology, 2016

Nonlinear mobile sensor calibration using informed semi-nonnegative matrix factorization with a Vandermonde factor.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Blind mobile sensor calibration using an informed nonnegative matrix factorization with a relaxed rendezvous model.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Blind Calibration of Mobile Sensors Using Informed Nonnegative Matrix Factorization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Split Gradient Method for Informed Non-negative Matrix Factorization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014
Bound constrained weighted NMF for industrial source apportionment.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Enhanced NMF initialization using a physical model for pollution source apportionment.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Estimation of a semi-physical GLBE model using dual EnKF learning algorithm coupled with a sensor network design strategy: Application to air field monitoring.
Inf. Fusion, 2013

Non-negative Matrix Factorization using weighted beta divergence and equality constraints for industrial source apportionment.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

2012
Joint estimation decision methods for source localization and restoration in parametric convolution processes. Application to accidental pollutant release.
Digit. Signal Process., 2012

Kullback-leibler NMF under linear equality constraints. Application to pollution source apportionment.
Proceedings of the 11th International Conference on Information Science, 2012

2002
Two joint estimation decision methods for pollutant source monitoring: A comparison.
Proceedings of the 11th European Signal Processing Conference, 2002

2000
Separation problem of industrial particles emissions using a stationary scattering model.
Environ. Model. Softw., 2000


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