Nathalie Peyrard

22 papers A* 1A 6B 1Journal 11Unranked 2

Year	Rank	Type	Title / 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