Nathalie Peyrard

发表

Sampling for weed spatial distribution mapping need not be adaptive

Mathieu Bonneau, Nathalie Peyrard, Sabrina Gaba, 2015, Environmental and Ecological Statistics.

Solving F3MDPs: Collaborative Multiagent Markov Decision Processes with Factored Transitions, Rewards and Stochastic Policies

Nathalie Peyrard, Régis Sabbadin, Julia Radoszycki, 2015, PRIMA.

Exact and approximate inference in graphical models: variable elimination and beyond pdf

Simon de Givry, Thomas Schiex, Stéphane Robin, 2015, ArXiv.

Detection of meaningful events in videos based on a supervised classification approach

Patrick Bouthemy, Nathalie Peyrard, P. Bouthemy, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Motion-Based Selection of Relevant Video Segments for Video Summarization

Patrick Bouthemy, Nathalie Peyrard, P. Bouthemy, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Motion-Based Selection of Relevant Video Segments for Video Summarization

Patrick Bouthemy, Nathalie Peyrard, P. Bouthemy, 2003, Multimedia Tools and Applications.

A Reinforcement-Learning Algorithm for Sampling Design in Markov Random Fields

Mathieu Bonneau, Nathalie Peyrard, Régis Sabbadin, 2012, ECAI.

Chordal Graphs to Identify Graphical Model Solutions of Maximum of Entropy Under Constraints on Marginals

Nathalie Peyrard, Alain Franc, M. Goulard, 2010, SIAM J. Discret. Math..

Décision dans les agro-écosystèmes

Mathieu Bonneau, Nathalie Peyrard, Régis Sabbadin, 2013, Rev. d'Intelligence Artif..

Model-based adaptive spatial sampling for occurrence map construction

Daniel Spring, Ralph Mac Nally, Nathalie Peyrard, 2013, Stat. Comput..

Optimal spatial allocation of control effort to manage invasives in the face of imperfect detection and misclassification

Julien Martin, Mathieu Bonneau, Nathalie Peyrard, 2019, Ecological Modelling.

A framework and a mean-field algorithm for the local control of spatial processes

Nathalie Peyrard, Régis Sabbadin, Nicklas Forsell, 2012, Int. J. Approx. Reason..

Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction

Mathieu Bonneau, Nathalie Peyrard, Sabrina Gaba, 2014, Comput. Stat. Data Anal..

Labeled DBN Learning with Community Structure Knowledge

Nathalie Peyrard, Régis Sabbadin, Etienne Auclair, 2017, ECML/PKDD.

Decision in agroecosystems advanced modelling techniques studying global changes in environmental sciences

Mathieu Bonneau, Nathalie Peyrard, Régis Sabbadin, 2015 .

On the difficulty to delimit disease risk hot spots

Florence Forbes, Nathalie Peyrard, Senan Doyle, 2013, Int. J. Appl. Earth Obs. Geoinformation.

EM procedures using mean field-like approximations for Markov model-based image segmentation

Gilles Celeux, Florence Forbes, Nathalie Peyrard, 2003, Pattern Recognit..

Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations

Florence Forbes, Nathalie Peyrard, F. Forbes, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Mean Field Approximation of the Policy Iteration Algorithm for Graph-Based Markov Decision Processes

Nathalie Peyrard, Régis Sabbadin, 2006, ECAI.

An Online Replanning Approach for Crop Fields Mapping with Autonomous UAVs

Nathalie Peyrard, Régis Sabbadin, Florent Teichteil-Königsbuch, 2015, ICAPS.

A Markov decision process for integrated pest management

Nathalie Peyrard, Régis Sabbadin, Jean-Noël Aubertot, 2007 .

Classification method for disease risk mapping based on discrete hidden Markov random fields.

Nathalie Peyrard, Jocelyn De Goër, David Abrial, 2012, Biostatistics.

Finding good stochastic factored policies for factored Markov decision processes

Nathalie Peyrard, Régis Sabbadin, Julia Radoszycki, 2014, ECAI.

New Results - Statistical modeling, motion and deformation analysis, video processing

Patrick Bouthemy, Isabelle Corouge, Charles Kervrann, 2003 .

Improving Pest Monitoring Networks in order to reduce pesticide use in agriculture

Nathalie Peyrard, Jean-Noel Aubertot, Sabrina Gaba, 2020, 2002.00951.

GMDPtoolbox: A Matlab library for designing spatial management policies. Application to the long-term collective management of an airborne disease

Marie-Josée Cros, Nathalie Peyrard, Régis Sabbadin, 2017, PloS one.

Méthodes variationnelles pour l'estimation, l'inférence et la décision dans les modèles graphiques

Nathalie Peyrard, 2013 .

Decision-theoretic Optimal Sampling in Hidden Markov Random Fields

Nathalie Peyrard, Régis Sabbadin, U. Farrokh Niaz, 2010, ECAI.

Réseau bayésien dynamique étiqueté pour l'apprentissage de structure d'un réseau écologique

Nathalie Peyrard, Régis Sabbadin, Etienne Auclair, 2018, Rev. d'Intelligence Artif..

Content-Based Video Segmentation using Statistical Motion Models

Patrick Bouthemy, Nathalie Peyrard, 2002, BMVC.

Convergence of MCEM and Related Algorithms for Hidden Markov Random Field

Nathalie Peyrard, N. Peyrard, 2001 .

A general method for estimating seed dormancy and colonisation in annual plants from the observation of existing flora.

Roger Pradel, Nathalie Peyrard, Rémi Choquet, 2018, Ecology letters.

EM-based image segmentation using Potts models with external field

Gilles Celeux, Florence Forbes, Nathalie Peyrard, 2001 .

Reinforcement learning based design of sampling policies under cost constraints in Markov Random Fields

Mathieu Bonneau, Nathalie Peyrard, Régis Sabbadin, 2014 .

Modelling Interaction Networks for Enhanced Ecosystem Services in Agroecosystems

Nathalie Peyrard, Sabrina Gaba, Régis Sabbadin, 2013 .

Learning ecological networks from next-generation sequencing data

Alireza Tamaddoni-Nezhad, Nathalie Peyrard, Régis Sabbadin, 2016 .

Dynamics of Weeds in the Soil Seed Bank: A Hidden Markov Model to Estimate Life History Traits from Standing Plant Time Series

Nathalie Peyrard, Sabrina Gaba, Régis Sabbadin, 2015, PloS one.