no code implementations • 29 Aug 2016 • Romain Guigourès, Marc Boullé, Fabrice Rossi
This paper introduces a novel technique to track structures in time varying graphs.
no code implementations • 4 Nov 2015 • Mohamed Khalil El Mahrsi, Romain Guigourès, Fabrice Rossi, Marc Boullé
Recently, clustering moving object trajectories kept gaining interest from both the data mining and machine learning communities.
no code implementations • 30 Oct 2015 • Romain Guigourès, Marc Boullé, Fabrice Rossi
In this article, we introduce a practical analysis of a large database from a telecommunication operator.
no code implementations • 6 May 2015 • Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot
We suggest a novel method of clustering and exploratory analysis of temporal event sequences data (also known as categorical time series) based on three-dimensional data grid models.
no code implementations • 20 Mar 2015 • Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot, Fabrice Rossi
Call Detail Records (CDRs) are data recorded by telecommunications companies, consisting of basic informations related to several dimensions of the calls made through the network: the source, destination, date and time of calls.
no code implementations • 2 Jul 2014 • Marc Boullé, Romain Guigourès, Fabrice Rossi
In this paper, we deal with the problem of curves clustering.
no code implementations • 28 May 2019 • Nour Karessli, Romain Guigourès, Reza Shirvany
We propose to employ visual data to infer size and fit characteristics of fashion articles.
no code implementations • 2 Aug 2019 • Romain Guigourès, Yuen King Ho, Evgenii Koriagin, Abdul-Saboor Sheikh, Urs Bergmann, Reza Shirvany
We introduce a hierarchical Bayesian approach to tackle the challenging problem of size recommendation in e-commerce fashion.