Nathalie Peyrard

22 papers A* 1A 6B 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2018 J jnl
Réseau bayésien dynamique étiqueté pour l'apprentissage de structure d'un réseau écologique.
Rev. d'Intelligence Artif.
Etienne Auclair, Nathalie Peyrard, Régis Sabbadin
2017 — conf
Labeled DBN Learning with Community Structure Knowledge.
ECML/PKDD (2)
Etienne Auclair, Nathalie Peyrard, Régis Sabbadin
2015 A* conf
An Online Replanning Approach for Crop Fields Mapping with Autonomous UAVs.
ICAPS
Alexandre Albore, Nathalie Peyrard, Régis Sabbadin, Florent Teichteil-Königsbuch
2015 J jnl
Exact and approximate inference in graphical models: variable elimination and beyond.
CoRR
Nathalie Peyrard, Simon de Givry, Alain Franc, Stéphane Robin, Régis Sabbadin, Thomas Schiex, Matthieu Vignes
2015 B conf
Solving F3MDPs: Collaborative Multiagent Markov Decision Processes with Factored Transitions, Rewards and Stochastic Policies.
PRIMA
Julia Radoszycki, Nathalie Peyrard, Régis Sabbadin
2014 A conf
Finding good stochastic factored policies for factored Markov decision processes.
ECAI
Julia Radoszycki, Nathalie Peyrard, Régis Sabbadin
2014 J jnl
Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction.
Comput. Stat. Data Anal.
Mathieu Bonneau, Sabrina Gaba, Nathalie Peyrard, Régis Sabbadin
2013 J jnl
Décision dans les agro-écosystèmes.
Rev. d'Intelligence Artif.
Gauthier Quesnel, Mahuna Akplogan, Mathieu Bonneau, Roger Martin-Clouaire, Nathalie Peyrard, Jean-Pierre Rellier, Régis Sabbadin, Ronan Trépos
2013 J jnl
Model-based adaptive spatial sampling for occurrence map construction.
Stat. Comput.
Nathalie Peyrard, Régis Sabbadin, Daniel Spring, Barry W. Brook, Ralph Mac Nally
2013 — book
Méthodes variationnelles pour l'estimation, l'inférence et la décision dans les modèles graphiques.
Nathalie Peyrard
2013 J jnl
On the difficulty to delimit disease risk hot spots.
Int. J. Appl. Earth Obs. Geoinformation
M. Charras-Garrido, Lamiae Azizi, Florence Forbes, Senan Doyle, Nathalie Peyrard, D. Abrial
2012 A conf
A Reinforcement-Learning Algorithm for Sampling Design in Markov Random Fields.
ECAI
Mathieu Bonneau, Nathalie Peyrard, Régis Sabbadin
2012 J jnl
A framework and a mean-field algorithm for the local control of spatial processes.
Int. J. Approx. Reason.
Régis Sabbadin, Nathalie Peyrard, Nicklas Forsell
2010 J jnl
Chordal Graphs to Identify Graphical Model Solutions of Maximum of Entropy Under Constraints on Marginals.
SIAM J. Discret. Math.
Alain Franc, M. Goulard, Nathalie Peyrard
2010 A conf
Decision-theoretic Optimal Sampling in Hidden Markov Random Fields.
ECAI
Nathalie Peyrard, Régis Sabbadin, U. Farrokh Niaz
2006 A conf
Mean Field Approximation of the Policy Iteration Algorithm for Graph-Based Markov Decision Processes.
ECAI
Nathalie Peyrard, Régis Sabbadin
2005 J jnl
Motion-Based Selection of Relevant Video Segments for Video Summarization.
Multim. Tools Appl.
Nathalie Peyrard, Patrick Bouthemy
2003 — conf
Detection of meaningful events in videos based on a supervised classification approach.
ICIP (3)
Nathalie Peyrard, Patrick Bouthemy
2003 J jnl
EM procedures using mean field-like approximations for Markov model-based image segmentation.
Pattern Recognit.
Gilles Celeux, Florence Forbes, Nathalie Peyrard
2003 J jnl
Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations.
IEEE Trans. Pattern Anal. Mach. Intell.
Florence Forbes, Nathalie Peyrard
2003 A conf
Motion-based selection of relevant video segments for video summarisation.
ICME
Nathalie Peyrard, Patrick Bouthemy
2002 A conf
Content-Based Video Segmentation using Statistical Motion Models.
BMVC
Nathalie Peyrard, Patrick Bouthemy