Query : Champs de Markov
- Environmental studies11
- Communication Sciences7
- Methods and Statistics7
- Architecture and Space Management3
- Social Anthropology and Ethnology1
- Art and Art History1
- Economies and Finances1
- Political Science1
- Blog Post1
- adrian torchiana1
- amine bourki1
- c debain1
- carlo de franchis1
- carlotta brunetti1
- charles tillier1
- chenguang liu1
- christine gintz1
- el-ghali lazrak1
- el ghali lazrak1
- f cointault1
- francois giraud1
- francois weber1
- frederic eyi-minko1
- j-m cahen1
- jeremie sublime1
- joffrey dumont le brazidec1
- johanna baro1
- jonathan jalbert1
- jonathan schuite1
Conditions of Access
- Open Access27
- Restricted Access or Use3
- Free Access1
Multiscale modelling of urban morphology using gridded data
Since a couple of decades the relationships between urban form and travel patterns are central to reflection on sustainable urban planning and transport policy. The increasing distribution of regular grid data is in this context a new perspective for modeling urban structures from measurements of de...
Bayesian inference and uncertainty quantification for the estimation of radionuclide release sources
In the event of a release of radioactive pollutants into the atmosphere, one of the missions of the authorities is to evaluate the consequences of this release in order to implement, if necessary, measures to protect the population. These may include evacuation or sheltering in the very short term,...
Contributions to collaborative clustering and its potential applications on very high resolution satellite images
This thesis presents several algorithms developed in the context of the ANR COCLICO project and contains two main axis: The first axis is concerned with introducing Markov Random Fields (MRF) based models to provide a semantic rich and suited algorithm applicable to images that are already segmented...
Learning from ocean remote sensing data
Reconstructing geophysical fields from noisy and partial remote sensing observations is a classical problem well studied in the literature. Data assimilation is one class of popular methods to address this issue, and is done through the use of classical stochastic filtering techniques, such as ensem...
Essays in Applied Econometrics with Missing Data
In the first chapter, I consider the bias that might arise in production function estimation when sales are used as a stand-in for production. In practice, researchers typically observe sales and not production; the two are distinct because firms manage inventory through time, and items sold during...
Look at these search results from a different perspective
Uncertainty quantification by reduction of the atmospheric dispersion model applied to the Fukushima nuclear accident
In case of a nuclear accident that may imply a release of radionuclides into the environment, the French Institute of Radiation Protection and Nuclear Safety (IRSN) uses atmospheric dispersion models to infer mitigation actions and protect the population. In the post-accidental phase (after the rele...
Development and structure of cortical networks in the macaque
The work performed during this thesis is three fold. In the first part, 12 injections of retrograde tracers were performed in cynomolgus macaques at different visual eccentricities in V1, V2, V4 and MT. We observe that, while injections performed in territories corresponding to the central (i.e. fov...
Modeling of multispectral textured and heterogeneous background images for anomaly detection
Detection methods for spotting covered up objects are used in many fields of applications, including the exploration of millitary battlefields. In this context, no specification about what to detect can be known a priori. Anomaly detection methods can deal without these informations and are the star...
Maximum likelihood estimation in dynamic or spatial stochastic block models
This thesis deals with maximum likelihood estimation in dynamic and spatial extensions of the stochastic block model (SBM), based respectively on hidden Markov chains and fields. First, we consider a dynamic version of the stochastic block model, suited for the observation of networks at multiple ti...
In bookshops: Walter Markov, ‘Jacques Roux, the red curé’
Né en Charente (1752) dans une famille nombreuse, Jacques Roux deviendra prêtre – seul moyen d’éducation pour les pauvres – et vicaire de Saint-Nicolas-des-Champs, section des Gravilliers. Il rallie le clergé constitutionnel en 1791, et devient ce que l’on appellera un « curé rouge ». Nommé commissa...
Earth Observation and Stereo Vision
This thesis deals with the problem of computing accurate digital elevationmodels of the Earth's surface from optical images taken by pushbroomobservation satellites. It takes advantage of the collaboration of thedefendant with CNES (the French Space Agency) on the development ofstereo vision tools f...
Statistical inference methods for Gibbs random fields
Due to the Markovian dependence structure, the normalizing constant of Markov random fields cannot be computed with standard analytical or numerical methods. This forms a central issue in terms of parameter inference or model selection as the computation of the likelihood is an integral part of the...
Statistical prediction of cracking paths : application to cementitious materials
The ageing of French nuclear power plants raises many research issues in nuclear safety analysis. The phenomena involved in the ageing of structures are mainly due to the development of pathologies, in particular internal swelling reactions. They can lead to concrete degradation and more specificall...
Low level feature detection in SAR images
In this thesis we develop low level feature detectors for Synthetic Aperture Radar (SAR) images to facilitate the joint use of SAR and optical data. Line segments and edges are very important low level features in images which can be used for many applications like image analysis, image registration...
Some links between discrete and continuous aspects in dynamic games
In this thesis we describe some links between a) discrete and continuous time games and b) games with finitely many players and games with a continuum of players. A motivation to the subject and the main contributions are outlined in Chapter 2. The rest of the thesis is organized in three parts: Par...
Markov fields hidden flare and segmentation of images
Contributions to medical images analysis for breast cancer recognition
Computer-aided diagnosis of breast cancer is raising increasingly a genuine enthusiasm because of the ever-increasing quantity of mammographic images from breast cancer screening campaigns. The focus is on breast masses due to the high risk of cancer associated with them. Indeed, the variability of...
Anti-Abuse Protection of Online Social Networks using Machine Learning
Over the last decade, the growing popularity of Online Social Networks has attracted a pervasive presence of social spammers. While this presence has started with spam advertising and common scams, the recent years have seen this escalate to the far more concerning mass manipulation attempts. This t...
Property of max-stable processes : limit theorem, regular conditional distributions and strong mining
The theme of this thesis is spatial extreme value theory and we focus on continuous max-stable processes. We begin with the convergence of the maximum of independent stochastic processes, by using the convergence of empirical measures to Poisson point processes. After that, we determine the regular...
From stochastic modelling of gene expression to inference of regulatory networks
Gene expression in a cell has long been only observable through averaged quantities over cell populations. The recent development of single-cell transcriptomics has enabled gene expression to be measured in individual cells: it turns out that even in an isogenic population, the molecular variability...
Bayesian model selection in hydrogeophysics and hydrogeology
Les eaux souterraines sont une ressource fondamentale. Avec la croissance démographique, le changement d’utilisation du sol, les activités économiques, l’urbanisation et le changement climatique, une gestion sûre et durable des ressources en eau souterraine devient de plus en plus cruciale. Cela doi...
Stochastic data mining for the understanding of temporal and spatial dynamics in agricultural landscapes. Contribution to a numerical landscape agronomy
The purpose of this thesis is to develop a generic method for modelling the past and current dynamics of Landscape Organization of Farming Activity (LOFA). We developed a stochastic modelling method based on Hidden Markov Models that allows data mining within a corpus of spatio-temporal land use dat...
Processing of precipitation by the Seine Basin Transformation of precipitation by the Seine basin: Interim report — AQUIVAR project
Dans un contexte de pression croissante sur l’environnement, les milieux aquatiques et la ressource en eau (changement d’occupation des sols, urbanisation, prélèvements), la connaissance des facteurs de contrôle des variations à long terme des niveaux des eaux souterraines et des débits en rivière e...
Image segmentation through metaheuristics optimization : application to brain magnetic resonance images
Image segmentation is the process of partitioning an image into smaller non-overlapped and meaningful regions based in part on some homogeneity characteristics. Many high-level processing tasks such as feature extraction, object recognition and medical diagnosis depend heavily on the quality of solu...
Development of a non-stationary and regional statistical model for extreme rainfall simulated by a digital climate model
Les inondations constituent le risque naturel prédominant dans le monde et les dégâts qu’elles causent sont les plus importants parmi les catastrophes naturelles. Un des principaux facteurs expliquant les inondations sont les précipitations extrêmes. En raison des changements climatiques, l’occurren...