Jie Chen

Orcid: 0000-0003-2306-8860

Affiliations:
  • Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
  • University of Michigan, Ann Arbor, MI, USA (2013 - 2015)
  • University of Nice Sophia Antipolis, France (until 2013)
  • University of Technology of Troyes, France (PhD 2013)


According to our database1, Jie Chen authored at least 193 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
MA-Stereo: Real-Time Stereo Matching via Multi-Scale Attention Fusion and Spatial Error-Aware Refinement.
IEEE Robotics Autom. Lett., November, 2024

Diffusion-Based Distributed Wave-Domain Active Noise Control With Convex Sum of Non-Convex Quadratic Costs.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

Theoretical Analysis of the Performance of the Data-Reuse RLS Algorithm.
IEEE Trans. Circuits Syst. II Express Briefs, January, 2024

Proportionate Total Adaptive Filtering Algorithms for Sparse System Identification.
IEEE Trans. Syst. Man Cybern. Syst., 2024

AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising.
IEEE Trans. Geosci. Remote. Sens., 2024

Hyperspecral Unmixing Based on Multilinear Mixing Model Using Convolutional Autoencoders.
IEEE Trans. Geosci. Remote. Sens., 2024

Integrating Data Priors to Weighted Prediction Error for Speech Dereverberation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Learning Noise Adapters for Incremental Speech Enhancement.
IEEE Signal Process. Lett., 2024

Distributed speech dereverberation using weighted prediction error.
Signal Process., 2024

Proportional Perturbation Model for Hyperspectral Unmixing Accounting for Endmember Variability.
IEEE Geosci. Remote. Sens. Lett., 2024

Online Parameter Estimation Over Distributed Multitask Networks with a Rank-One Model.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Edge Devices Friendly Self-Supervised Monocular Depth Estimation via Knowledge Distillation.
IEEE Robotics Autom. Lett., December, 2023

An efficient randomized QLP algorithm for approximating the singular value decomposition.
Inf. Sci., November, 2023

Diffusion least mean kurtosis algorithm and its performance analysis.
Inf. Sci., August, 2023

Online Dominant Generalized Eigenvectors Extraction via a Randomized Algorithm.
IEEE Trans. Veh. Technol., June, 2023

Cascaded transformer U-net for image restoration.
Signal Process., May, 2023

Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods.
IEEE Signal Process. Mag., March, 2023

An ESPRIT-Based Supervised Channel Estimation Method Using Tensor Train Decomposition for mmWave 3-D MIMO-OFDM Systems.
IEEE Trans. Signal Process., 2023

Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems.
IEEE Trans. Image Process., 2023

Deep Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE Trans. Geosci. Remote. Sens., 2023

Tuning-Free Plug-and-Play Hyperspectral Image Deconvolution With Deep Priors.
IEEE Trans. Geosci. Remote. Sens., 2023

Scale-Balanced Real-Time Object Detection With Varying Input-Image Resolution.
IEEE Trans. Circuits Syst. Video Technol., 2023

GPU Implementation of Graph-Regularized Sparse Unmixing With Superpixel Structures.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Performance analysis of the augmented complex-valued least mean kurtosis algorithm.
Signal Process., 2023

Distributed pressure matching strategy using diffusion adaptation.
CoRR, 2023

Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model.
CoRR, 2023

Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency.
CoRR, 2023

A Coarse to Fine Framework for Object Detection in High Resolution Image.
CoRR, 2023

Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition.
IEEE Access, 2023

Efficient Blind Hyperspectral Unmixing with Non-Local Spatial Information Based on Swin Transformer.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Deep-RX for Hyperspectral Anomaly Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Tobacco Impurities Detection with Deep Image Segmentation Method on Hyperspectral Imaging.
Proceedings of the IEEE International Conference on Signal Processing, 2023

Adaptive Random Fourier Features Kernel LMS.
Proceedings of the IEEE International Conference on Signal Processing, 2023

An Alternative to Bilinear and Nearest-Neighbour Enlarging for Monitor Displays.
Proceedings of the IEEE International Conference on Image Processing, 2023

Change Point Detection with Neural Online Density-Ratio Estimator.
Proceedings of the IEEE International Conference on Acoustics, 2023

Distributed Pressure Matching for Personal Sound Zone Control Using Diffusion Adaptation.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Distributed Learning with Convex SUM-of -Non-Convex Objective.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
Hyperspectral Unmixing for Additive Nonlinear Models With a 3-D-CNN Autoencoder Network.
IEEE Trans. Geosci. Remote. Sens., 2022

A Plug-and-Play Priors Framework for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022

A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability.
IEEE Trans. Geosci. Remote. Sens., 2022

Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability.
IEEE Trans. Geosci. Remote. Sens., 2022

Deep Generative Model for Spatial-Spectral Unmixing With Multiple Endmember Priors.
IEEE Trans. Geosci. Remote. Sens., 2022

Sparse Linear Spectral Unmixing of Hyperspectral Images Using Expectation-Propagation.
IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral Image Super-Resolution via Deep Prior Regularization With Parameter Estimation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Deep Constrained Energy Minimization for Hyperspectral Target Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Transient Performance Analysis of the $\ell _1$-RLS.
IEEE Signal Process. Lett., 2022

An improved mean-square performance analysis of the diffusion least stochastic entropy algorithm.
Signal Process., 2022

Perceptual Loss-Constrained Adversarial Autoencoder Networks for Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2022

Hyperspectral Unmixing via Nonnegative Matrix Factorization With Handcrafted and Learned Priors.
IEEE Geosci. Remote. Sens. Lett., 2022

Multiscale-Superpixel-Based SparseCEM for Hyperspectral Target Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

A Deep Joint Network for Multispectral Demosaicking Based on Pseudo-Panchromatic Images.
IEEE J. Sel. Top. Signal Process., 2022

Blind Modulation Classification Under Uncertain Noise Conditions: A Multitask Learning Approach.
IEEE Commun. Lett., 2022

Block-sparse sign algorithm and its performance analysis.
Digit. Signal Process., 2022

Dual Complementary Dynamic Convolution for Image Recognition.
CoRR, 2022

Robust Manifold Nonnegative Tucker Factorization for Tensor Data Representation.
CoRR, 2022

DB-GAN: A Low Contrast Image Enhancer Based on NIR-RGB Fusion.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Transient Analysis of Diffusion Recursive Least Squares via Signed Error Algorithm for Cyclostationary Colored Inputs.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Hyperspectral Unmixing Powered by Deep Image Priors and Denoising Regularization.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Constrained Energy Minimization with a DNN Detector.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Hyperspectral Image Super-Resolution with Deep Priors and Degradation Model Inversion.
Proceedings of the IEEE International Conference on Acoustics, 2022

Transient Analysis of Clustered Multitask Diffusion RLS Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Image Fusion Accounting for Inter-Image Variability.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Zeroth-Order Diffusion Adaptive Filter Over Networks.
IEEE Trans. Signal Process., 2021

Bias-Compensated Sign Algorithm for Noisy Inputs and Its Step-Size Optimization.
IEEE Trans. Signal Process., 2021

Projection-Based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices.
IEEE Trans. Signal Process., 2021

Online Generalized Eigenvectors Extraction Via a Fixed-Point Approach.
IEEE Trans. Signal Process., 2021

Steady-State Mean-Square Error Performance Analysis of the Tensor LMS Algorithm.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Multichannel Iterative Noise Reduction Filters in the Short-Time-Fourier-Transform Domain Based on Kronecker Product Decomposition.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Object Detection in Hyperspectral Images.
IEEE Signal Process. Lett., 2021

Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs.
IEEE Signal Process. Lett., 2021

Online Construction of Variable Span Linear Filters Using a Fixed-Point Approach.
IEEE Signal Process. Lett., 2021

A family of affine projection-type least lncosh algorithms and their step-size optimization.
Signal Process., 2021

Selective partial-update augmented complex-valued LMS algorithm and its performance analysis.
Signal Process., 2021

Wave-domain active noise control over distributed networks of multi-channel nodes.
Signal Process., 2021

Hyperspectral Shadow Removal via Nonlinear Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2021

LSTM-DNN Based Autoencoder Network for Nonlinear Hyperspectral Image Unmixing.
IEEE J. Sel. Top. Signal Process., 2021

Hyperspectral image shadow compensation via cycle-consistent adversarial networks.
Neurocomputing, 2021

A family of normalized dual sign algorithms.
Digit. Signal Process., 2021

A model-based variable step-size strategy for proximal multitask diffusion LMS algorithm.
Digit. Signal Process., 2021

A QLP Decomposition via Randomization.
CoRR, 2021

A Coarse-to-Fine Object Detection Framework for High-Resolution Images with Sparse Objects.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

An Efficient Randomized Low-Rank Matrix Factorization with Application to Robust PCA.
Proceedings of the IEEE International Conference on Signal Processing, 2021

A TTSVD-Enhanced Fast and Accurate Channel Estimation Method for Dual-Polarized Massive MIMO Systems.
Proceedings of the IEEE International Conference on Signal Processing, 2021

Variational Autoencoders for Hyperspectral Unmixing with Endmember Variability.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Efficient Low-Rank Approximation of Matrices Based on Randomized Pivoted Decomposition.
IEEE Trans. Signal Process., 2020

Affine Combination of Diffusion Strategies Over Networks.
IEEE Trans. Signal Process., 2020

Online Proximal Learning Over Jointly Sparse Multitask Networks With $\ell _{\infty, 1}$ Regularization.
IEEE Trans. Signal Process., 2020

A Low-Rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising.
IEEE Trans. Signal Process., 2020

Convex Combination of Diffusion Strategies Over Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2020

Reconstruction of Hyperspectral Data From RGB Images With Prior Category Information.
IEEE Trans. Computational Imaging, 2020

Stochastic Analysis of Diffusion Dual Sign Algorithm for Cyclostationary White Gaussian Inputs and Nonstationary System.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

Tracking Analysis of Gaussian Kernel Signed Error Algorithm for Time-Variant Nonlinear Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

Transient Analysis of Signed LMS Algorithms With Cyclostationary Colored Gaussian Inputs.
IEEE Trans. Circuits Syst., 2020

Distributed Wave-Domain Active Noise Control Based on the Diffusion Adaptation.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning.
IEEE Signal Process. Mag., 2020

Tensor Denoising Using Low-Rank Tensor Train Decomposition.
IEEE Signal Process. Lett., 2020

Multitask diffusion affine projection sign algorithm and its sparse variant for distributed estimation.
Signal Process., 2020

Generalized combined nonlinear adaptive filters: From the perspective of diffusion adaptation over networks.
Signal Process., 2020

Deep learning methods for solving linear inverse problems: Research directions and paradigms.
Signal Process., 2020

A 2020 perspective on "How do goal and product knowledge specificity influence online channel choice? A polynomial regression analysis".
Electron. Commer. Res. Appl., 2020

Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors.
CoRR, 2020

Multitask learning over graphs.
CoRR, 2020

CNN-Based Anomaly Detection For Face Presentation Attack Detection With Multi-Channel Images.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Extending CCSDS 123.0-B-1 for Lossless 4D Image Compression.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

A Multi-Model Fusion Framework for NIR-to-RGB Translation.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Sparse Spectral Unmixing of Hyperspectral Images using Expectation-Propagation.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Variance Reduced Diffusion Adaptation For Online Learning Over Networks.
Proceedings of the IEEE International Conference on Signal Processing, 2020

Distributed Principal Component Analysis Based on Randomized Low-Rank Approximation.
Proceedings of the IEEE International Conference on Signal Processing, 2020

Random Fourier Features Multi-Kernel LMS Algorithm.
Proceedings of the IEEE International Conference on Signal Processing, 2020

Hyperspectral Unmixing Via Plug-And-Play Priors.
Proceedings of the IEEE International Conference on Image Processing, 2020

Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Low-Rank Approximation of Matrices Via A Rank-Revealing Factorization with Randomization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Proximal Multitask Learning Over Distributed Networks with Jointly Sparse Structure.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Distributed Wave-Domain Active Noise Control Based on the Diffusion Strategy.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method.
Proceedings of the 28th European Signal Processing Conference, 2020

Online Graph-Based Change Point Detection in Multiband Image Sequences.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
A Laboratory-Created Dataset With Ground Truth for Hyperspectral Unmixing Evaluation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Sparse-SpatialCEM for Hyperspectral Target Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Recursive Variable Span Linear Filter for Noise Reduction.
IEEE Signal Process. Lett., 2019

Randomized Truncated Pivoted QLP Factorization for Low-Rank Matrix Recovery.
IEEE Signal Process. Lett., 2019

Learning Combination of Graph Filters for Graph Signal Modeling.
IEEE Signal Process. Lett., 2019

Online Deconvolution for Industrial Hyperspectral Imaging Systems.
SIAM J. Imaging Sci., 2019

A Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing.
Remote. Sens., 2019

Kernel-Based Nonlinear Spectral Unmixing with Dictionary Pruning.
Remote. Sens., 2019

Nonlinear Unmixing of Hyperspectral Data via Deep Autoencoder Networks.
IEEE Geosci. Remote. Sens. Lett., 2019

How do goal and product knowledge specificity influence online channel choice? A polynomial regression analysis.
Electron. Commer. Res. Appl., 2019

Transient Performance Analysis of Zero-Attracting Gaussian Kernel LMS Algorithm With Pre-Tuned Dictionary.
IEEE Access, 2019

Performance Analysis of Diffusion LMS for Cyclostationary White Non-Gaussian Inputs.
IEEE Access, 2019

Robust Sparse Multichannel Active Noise Control.
Proceedings of the IEEE International Conference on Acoustics, 2019

Low-rank Matrix Approximation Based on Intermingled Randomized Decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2019

Non-Destructive Prediction of Pork Meat Degradation using a Stacked Autoencoder Classifier on Hyperspectral Images.
Proceedings of the 27th European Signal Processing Conference, 2019

Generalized Combined Nonlinear Adaptive Filters for Nonlinear Acoustic Echo Cancellation.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
Model-driven online parameter adjustment for zero-attracting LMS.
Signal Process., 2018

Steady-state and stability analyses of diffusion sign-error LMS algorithm.
Signal Process., 2018

Hyperspectral Image Classification VIA a Joint Sparsity and Spatial Correlation Model.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

Hyperspectral Target Detection Based on a Spatially Regularized Sparse Representation.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

A Dataset with Ground-Truth for Hyperspectral Unmixing.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Spatially Regularzied Sparsecem for Target Detection in Hyperspectral Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Distributed Diffusion Adaptation Over Graph Signals.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Adaptive Parameters Adjustment for Group Reweighted Zero-Attracting LMS.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Zeroth-Order Diffusion Adaptation Over Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Non-intrusive fingerprints extraction from hyperspectral imagery.
Proceedings of the 26th European Signal Processing Conference, 2018

Superpixel construction for hyperspectral unmixing.
Proceedings of the 26th European Signal Processing Conference, 2018

Convex Combination of Diffusion Strategies Over Distributed Networks.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Distributed Optimization of Quadratic Costs with a Group-Sparsity Regularization Via PDMM.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Kernel Least Mean p-Power Algorithm.
IEEE Signal Process. Lett., 2017

Multitask Diffusion Adaptation Over Networks With Common Latent Representations.
IEEE J. Sel. Top. Signal Process., 2017

Adaptation and learning over networks for nonlinear system modeling.
CoRR, 2017

Internal Transfer Learning for Improving Performance in Human Action Recognition for Small Datasets.
IEEE Access, 2017

Online deconvolution for pushbroom hyperspectral imaging systems.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

A graph diffusion LMS strategy for adaptive graph signal processing.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Transient Performance Analysis of Zero-Attracting LMS.
IEEE Signal Process. Lett., 2016

Stochastic behavior of the nonnegative least mean fourth algorithm for stationary Gaussian inputs and slow learning.
Signal Process., 2016

Diffusion sign-error LMS algorithm: Formulation and stochastic behavior analysis.
Signal Process., 2016

Reweighted nonnegative least-mean-square algorithm.
Signal Process., 2016

Spectral identification of topological domains.
Bioinform., 2016

Robust nonlinear unmixing of hyperspectral images with a linear-mixture/nonlinear-fluctuation model.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Diffusion LMS over multitask networks with noisy links.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Group diffusion LMS.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Diffusion LMS Over Multitask Networks.
IEEE Trans. Signal Process., 2015

Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks.
Int. J. Distributed Sens. Networks, 2015

Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Adaptive clustering for multitask diffusion networks.
Proceedings of the 23rd European Signal Processing Conference, 2015

Diffusion adaptation over networks with kernel least-mean-square.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Online Dictionary Learning for Kernel LMS.
IEEE Trans. Signal Process., 2014

Multitask Diffusion Adaptation Over Networks.
IEEE Trans. Signal Process., 2014

Variants of Non-Negative Least-Mean-Square Algorithm and Convergence Analysis.
IEEE Trans. Signal Process., 2014

Nonlinear Estimation of Material Abundances in Hyperspectral Images With ℓ<sub>1</sub>-Norm Spatial Regularization.
IEEE Trans. Geosci. Remote. Sens., 2014

Steady-State Performance of Non-Negative Least-Mean-Square Algorithm and Its Variants.
IEEE Signal Process. Lett., 2014

Diffusion LMS for multitask problems with overlapping hypothesis subspaces.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Diffusion LMS for clustered multitask networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization.
Proceedings of the IEEE International Conference on Acoustics, 2014

Convergence analysis of kernel LMS algorithm with pre-tuned dictionary.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
System identification under non-negativity constraints - Applications in adaptive filtering and hyperspectral image analysis. (Indentification de système sous la contrainte de non-négativité - Applications dans filtrage adaptatif et analyse dimage hyperspectrale).
PhD thesis, 2013

Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model.
IEEE Trans. Signal Process., 2013

Online Least Squares One-Class Support Vector Machines-Based Abnormal Visual Event Detection.
Sensors, 2013

Online Detection of Abnormal Events in Video Streams.
J. Electr. Comput. Eng., 2013

Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Kernel LMS algorithm with forward-backward splitting for dictionary learning.
Proceedings of the IEEE International Conference on Acoustics, 2013

Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression.
Proceedings of the IEEE International Conference on Acoustics, 2013

Non-stationary analysis of the convergence of the Non-Negative Least-Mean-Square algorithm.
Proceedings of the 21st European Signal Processing Conference, 2013

Performance analysis of diffusion LMS in multitask networks.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
Nonlinear unmixing of hyperspectral images based on multi-kernel learning.
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

Prediction of rain attenuation series based on discretized spectral model.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Nonnegative Least-Mean-Square Algorithm.
IEEE Trans. Signal Process., 2011

Online system identification under non-negativity and ℓ1-norm constraints algorithm and weight behavior analysis.
Proceedings of the 19th European Signal Processing Conference, 2011

A novel kernel-based nonlinear unmixing scheme of hyperspectral images.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

A modified non-negative LMS algorithm and its stochastic behavior analysis.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks.
EURASIP J. Wirel. Commun. Netw., 2010

System identification under non-negativity constraints.
Proceedings of the 18th European Signal Processing Conference, 2010

2008
Error Probability Distribution and Density Functions for Rayleigh and Rician Fading Channels with Diversity.
Int. J. Wirel. Inf. Networks, 2008


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