activity
20172023
most citedVariational Bayesian Inference For A Scale Mixture Of Normal Distributions Handling Missing Data

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.ET2023

Synthetic Aperture Radar Image Segmentation with Quantum Annealing

Timothe Presles, Cyrille Enderli, Gilles Burel +1

In image processing, image segmentation is the process of partitioning a digital image into multiple image segment. Among state-of-the-art methods, Markov Random Fields (MRF) can b…

cs.ET2023

Phase-coded Radar Waveform Design with Quantum Annealing

Timothe Presles, Cyrille Enderli, Gilles Burel +1

The Integrated Side Lobe Ratio (ISLR) problem we consider here consists in finding optimal sequences of phase shifts in order to minimize the mean squared cross-correlation side lo…

cs.NE2020

Finding optimal Pulse Repetion Intervals with Many-objective Evolutionary Algorithms

Paul Dufossé, Cyrille Enderli

In this paper we consider the problem of finding Pulse Repetition Intervals allowing the best compromises mitigating range and Doppler ambiguities in a Pulsed-Doppler radar system.…

stat.ML2017★ 2 cited

Variational Bayesian Inference For A Scale Mixture Of Normal Distributions Handling Missing Data

G. Revillon, A. Djafari, C. Enderli

In this paper, a scale mixture of Normal distributions model is developed for classification and clustering of data having outliers and missing values. The classification method, b…

stat.ML2017

A generalized multivariate Student-t mixture model for Bayesian classification and clustering of radar waveforms

Guillaume Revillon, Ali Mohammad-Djafari, Cyrille Enderli

In this paper, a generalized multivariate Student-t mixture model is developed for classification and clustering of Low Probability of Intercept radar waveforms. A Low Probability…