activity
20122023
most citedLocalizing the Latent Structure Canonical Uncertainty: Entropy Profiles for Hidden Markov Models

10 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 4 cited

Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination

Yuchen Bai, Jean-Baptiste Durand, Grégoire Vincent +1

LiDAR (Light Detection and Ranging) has become an essential part of the remote sensing toolbox used for biosphere monitoring. In particular, LiDAR provides the opportunity to map f…

cs.DS2018★ 1 cited

Approximation of trees by self-nested trees

Romain Azaïs, Jean-Baptiste Durand, Christophe Godin

The class of self-nested trees presents remarkable compression properties because of the systematic repetition of subtrees in their structure. In this paper, we provide a better co…

math.ST2018

Splitting models for multivariate count data

Pierre Fernique, Jean Peyhardi, Jean-Baptiste Durand

Considering discrete models, the univariate framework has been studied in depth compared to the multivariate one. This paper first proposes two criteria to define a sensu stricto m…

stat.ML2013

Parametric Modelling of Multivariate Count Data Using Probabilistic Graphical Models

Pierre Fernique, Jean-Baptiste Durand, Yann Guédon

Multivariate count data are defined as the number of items of different categories issued from sampling within a population, which individuals are grouped into categories. The anal…

math.ST2012★ 10 cited

Localizing the Latent Structure Canonical Uncertainty: Entropy Profiles for Hidden Markov Models

Jean-Baptiste Durand, Y. Guédon

This report addresses state inference for hidden Markov models. These models rely on unobserved states, which often have a meaningful interpretation. This makes it necessary to dev…