André Ferrari
André Ferrari
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Online change-point detection with kernels
Deep Deconvolution for Traffic Analysis with Distributed Acoustic Sensing Data
A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing data
Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing
Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis
Online Graph-Based Change Point Detection in Multiband Image Sequences
Non-parametric community change-points detection in streaming graph signals
Distributed change detection in streaming graph signals
Kernel based online change point detection
Non-parametric community change-points detection in streaming graph signals
Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation
ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator
Diffusion LMS for Multitask Problems With Local Linear Equality Constraints
Unmixing of multispectral photoacoustic images
Distributed approach for deblurring large images with shift-variant blur
A Telemetry Monitoring System Using the One-Class SVM Method
Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions
Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization
Diffusion LMS over multitask networks with noisy links
Multitask Diffusion Adaptation Over Asynchronous Networks
Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions
Improving Spacecraft Health Monitoring with Automatic Anomaly Detection Techniques
Diffusion LMS over multitask networks with noisy links
Unsupervised neighbor dependent nonlinear unmixing
Estimation distribuée sur les réseaux multitâches en présence d'échanges d'informations bruitées
Modèle non-linéaire et semi-paramétrique pour le démélange non-supervisé d'images hyperspectrales
Hyperspectral data unmixing with graph-based regularization
A graph Laplacian regularization for hyperspectral data unmixing
Multitask diffusion LMS with sparsity-based regularization
Blind and Fully Constrained Unmixing of Hyperspectral Images
Performance analysis of multitask diffusion adaptation over asynchronous networks
Distributed image reconstruction for very large arrays in radio astronomy
GLUP: yet another algorithm for blind unmixing of hyperspectral data
Group Lasso avec contraintes de positivité et de somme unité pour le dé mé lange non-supervisé des images hyperspectrales
Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression
Adaptive inverse control using kernel identification
Transitional surrogates
Distributed learning with kernels in wireless sensor networks for physical phenomena modeling and tracking
Transductive kernel matrix learning with hierarchic Bayesian model, application to hyperspectral images
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