Search Results for author: Romain Guigourès

Found 8 papers, 0 papers with code

A Hierarchical Bayesian Model for Size Recommendation in Fashion

no code implementations2 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.

SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images

no code implementations28 May 2019 Nour Karessli, Romain Guigourès, Reza Shirvany

We propose to employ visual data to infer size and fit characteristics of fashion articles.

Discovering Patterns in Time-Varying Graphs: A Triclustering Approach

no code implementations29 Aug 2016 Romain Guigourès, Marc Boullé, Fabrice Rossi

This paper introduces a novel technique to track structures in time varying graphs.

Quantization

Co-Clustering Network-Constrained Trajectory Data

no code implementations4 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.

A Study of the Spatio-Temporal Correlations in Mobile Calls Networks

no code implementations30 Oct 2015 Romain Guigourès, Marc Boullé, Fabrice Rossi

In this article, we introduce a practical analysis of a large database from a telecommunication operator.

Cats & Co: Categorical Time Series Coclustering

no code implementations6 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.

Model Selection Time Series

Country-scale Exploratory Analysis of Call Detail Records through the Lens of Data Grid Models

no code implementations20 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.

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