Matthieu Puigt

Orcid: 0000-0002-3264-4981

According to our database1, Matthieu Puigt authored at least 40 papers between 2006 and 2023.

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

Timeline

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Bibliography

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

Méthodes d'analyse en variables latentes fondées sur la parcimonie et/ou la faiblesse de rang. Application aux problèmes inverses multivariés.
, 2023

2022
Deepsen3: Deep Multi-Scale Learning Model For Spatial-Spectral Fusion Of Sentinel-2 And Sentinel-3 Remote Sensing Images.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 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

A New Deep Learning Method for Multispectral Image Time Series Completion Using Hyperspectral Data.
Proceedings of the IEEE International Conference on Acoustics, 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

Experimental Comparison of Multi-Sharpening Methods Applied To Sentinel-2 MSI and Sentinel-3 OLCI Images.
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 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
Real-Time Multiple Sound Source Localization and Counting Using a Circular Microphone Array.
IEEE Trans. Speech Audio Process., 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
Post-Nonlinear Sparse Component Analysis Using Single-Source Zones and Functional Data Clustering
CoRR, 2012

Nonlinear blind mixture identification using local source sparsity and functional data clustering.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

Source counting in real-time sound source localization using a circular microphone array.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

Real-time multiple sound source localization using a circular microphone array based on single-source confidence measures.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Real-time multiple speaker DOA estimation in a circular microphone array based on Matching Pursuit.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Post-nonlinear speech mixture identification using single-source temporal zones & curve clustering.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Blind Separation methods based on correlation for sparse possibly-correlated images.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Source separation algorithms for the analysis of hyper-spectral observations of very small interstellar dust particles.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Validity of the Independence Assumption for the Separation of Instantaneous and Convolutive Mixtures of Speech and Music Sources.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Iterative-Shift Cluster-Based Time-Frequency BSS for Fractional-Time-Delay Mixtures.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

2007
Temporal and time-frequency correlation-based blind source separation methods. Part I: Determined and underdetermined linear instantaneous mixtures.
Signal Process., 2007

2006
A Time-Frequency CORRelation-Based Blind Source Separation Method for Time-Delayed Mixtures.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Two Time-Frequency Ratio-Based Blind Source Separation Methods for Time-Delayed Mixtures.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

A time-scale correlation-based blind separation method applicable to correlated sources.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006


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