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Affichage des publications 71 à 80 sur 315 au total

Machine Learning

Robust Kernel Density Estimation with Median-of-Means principle

In this paper, we introduce a robust nonparametric density estimator combining the popular Kernel Density Estimation method and the Median-of-Means principle (MoM-KDE). This estimator is shown to achieve robustness to any kind of anomalous data,…

Pierre Humbert, Batiste Le Bars, Ludovic Minvielle

Proceedings of the 39th International Conference on Machine Learning (ICML) -

Traitement des images

The Impact of JPEG Compression on Prior Image Noise

JPEG compression is widely used to store digital images and extensive studies analysed its impact on the image quality; in particular the quantization noise and artefacts created by JPEG. Nevertheless, there is little work on the impact of JPEG…

Marina Gardella, Tina Nikoukhah, Yanhao Li, Quentin Bammey

2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022) -

Gestion et management

A survey on machine learning methods for churn prediction

The diversity and specificities of today's businesses have leveraged a wide range of prediction techniques. In particular, churn prediction is a major economic concern for many companies. The purpose of this study is to draw general guidelines from…

Louis Geiler, Séverine Affeldt, Mohamed Nadif

International Journal of Data Science and Analytics -

Sciences du Vivant

Receptor Tyrosine Kinase KIT: A New Look for an Old Receptor

RTK KIT regulates a variety of crucial cellular processes via its cytoplasmic (CD) domain composed of the tyrosine kinase domain crowned by highly flexible domains-juxtamembrane region, kinase insert domain and C-tail, key recruitment regions for…

Julie Ledoux, Luba Tchertanov

Bioinformatics and Biomedical Engineering 2022 -

Synthèse d'image et réalité virtuelle

Scaling Painting Style Transfer

Neural style transfer is a deep learning technique that produces an unprecedentedly rich style transfer from a style image to a content image and is particularly impressive when it comes to transferring style from a painting to an image. It was…

Bruno Galerne, Lara Raad, José Lezama, Jean-Michel Morel

Machine Learning

Can Push-forward Generative Models Fit Multimodal Distributions?

Many generative models synthesize data by transforming a standard Gaussian random variable using a deterministic neural network. Among these models are the Variational Autoencoders and the Generative Adversarial Networks. In this work, we call them …

Antoine Salmona, Valentin de Bortoli, Agnès Desolneux, Julie Delon

Thirty-sixth Conference on Neural Information Processing Systems -

Vision par ordinateur et reconnaissance de formes

Interactive Segmentation for Shape From Shading Over HR SAR Images

Shape from shading (SfS) enables 3D reconstruction of stockpiles from a single image. However, this method requires proper boundary conditions to work properly. Obtaining such Dirichlet and Neumann conditions is equivalent to a segmentation of the…

Franco Marchesoni-Acland, Marie d'Autume, Gabriele Facciolo, Carlo de Franchis, Jean-Michel Morel, Enric Meinhardt-Llopis

2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022) -

Environnements Informatiques pour l'Apprentissage Humain

Vers un modèle général de recommandation de trajectoires d’apprentissage

L’apprentissage adaptatif est un domaine de l’e-learning qui consiste à étudier et concevoir des dispositifs informatiques capables de délivrer des expériences d’apprentissage personnalisées. Dans la pratique, ces systèmes reposent souvent sur une…

Jean Vassoyan

Neuvièmes Rencontres Jeunes Chercheur·e·s en EIAH, RJC-EIAH -

Vision par ordinateur et reconnaissance de formes

Disparity Estimation Networks for Aerial and High-Resolution Satellite Images: A Review

This article describes a generic bundle adjustment methodology for multi-view stereo pipelines for 3D reconstruction from high-resolution optical satellite imagery. The Rational Polynomial Camera (RPC) model of each input view is refined by…

Roger Marí, Thibaud Ehret, Gabriele Facciolo

Image Processing On Line -