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Academic literature on the topic 'Fusion coopérative'
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Journal articles on the topic "Fusion coopérative"
El merabet, Youssef, Cyril Meurie, Yassine Ruichek, Raja Touahni, and Abderrahmane Sbihi. "Segmentation d'images aériennes par coopération LPE-régions et LPE-contours. Application à la caractérisation de toitures." Revue Française de Photogrammétrie et de Télédétection, no. 206 (June 19, 2014): 29–44. http://dx.doi.org/10.52638/rfpt.2014.12.
Full textBélis-Bergouignan, Marie-Claude, and Nathalie CORADE. "Fusions des coopératives vinicoles et ancrage territorial." Revue d'Économie Régionale & Urbaine mars, no. 1 (2008): 43. http://dx.doi.org/10.3917/reru.081.0043.
Full textLeclerc, André, and Mario Fortin. "Économies d’échelle et de gamme dans les coopératives de services financiers : une approche non paramétrique (DEA)." Articles 85, no. 3 (November 10, 2010): 263–82. http://dx.doi.org/10.7202/044877ar.
Full textLapointe, Paul-André. "Identités ouvrières et syndicales, fusion, distanciation et recomposition." Sociologie et sociétés 30, no. 2 (October 2, 2002): 189–212. http://dx.doi.org/10.7202/001413ar.
Full textBobin, Jean-Louis. "Il y a cinquante ans : les premières réactions de fusion nucléaire induites par laser." Reflets de la physique, no. 67 (November 2020): 21–25. http://dx.doi.org/10.1051/refdp/202067021.
Full textVaillant, Jérôme. "Berlin-Brandebourg : du rejet de la fusion à la coopération des deux Länder." Allemagne d'aujourd'hui 221, no. 3 (2017): 66. http://dx.doi.org/10.3917/all.221.0066.
Full textZajec, Olivier. "La guerre comme syllogisme éristique." Études internationales 46, no. 1 (September 25, 2015): 73–93. http://dx.doi.org/10.7202/1033370ar.
Full textMadiès, Thierry. "Concurrence fiscale et intercommunalité." Revue de l'OFCE 63, no. 4 (November 1, 1997): 195–228. http://dx.doi.org/10.3917/reof.p1997.63n1.0195.
Full textOury, Clément. "L’archivage du Web : bibliothèques et archives à la croisée des chemins." Archives 47, no. 1 (November 9, 2017): 107–24. http://dx.doi.org/10.7202/1041828ar.
Full textBoisvert, Denis, and Benoit Seguin. "Implantation en mode coopératif d’un système de gestion de bibliothèques dans huit établissements du réseau de l’Université du Québec (UQTR, UQAC, UQAR, UQO, UQAT, ETS, INRS, ENAP)." Documentation et bibliothèques 56, no. 2 (March 18, 2015): 49–62. http://dx.doi.org/10.7202/1029132ar.
Full textDissertations / Theses on the topic "Fusion coopérative"
Valet, Lionel. "Un système flou de fusion coopérative : application au traitement d’images naturelles." Chambéry, 2001. http://www.theses.fr/2001CHAMS022.
Full textAutrel, Fabien. "Fusion, corrélation pondérée et réaction dans un environnement de détection d'intrusions coopérative." Toulouse, ENSAE, 2005. http://www.theses.fr/2005ESAE0002.
Full textHéry, Elwan. "Localisation coopérative de véhicules autonomes communicants." Thesis, Compiègne, 2019. http://www.theses.fr/2019COMP2516.
Full textTo be able to navigate autonomously, a vehicle must be accurately localized relatively to all obstacles, such as roadside for lane keeping and vehicles and pedestrians to avoid causing accidents. This PhD thesis deals with the interest of cooperation to improve the localization of cooperative vehicles that exchange information. Autonomous navigation on the road is often based on coordinates provided in a Cartesian frame. In order to better represent the pose of a vehicle with respect to the lane in which it travels, we study curvilinear coordinates with respect to a path stored in a map. These coordinates generalize the curvilinear abscissa by adding a signed lateral deviation from the center of the lane and an orientation relative to the center of the lane taking into account the direction of travel. These coordinates are studied with different track models and using different projections to make the map-matching. A first cooperative localization approach is based on these coordinates. The lateral deviation and the orientation relative to the lane can be known precisely from a perception of the lane borders, but for autonomous driving with other vehicles, it is important to maintain a good longitudinal accuracy. A one-dimensional data fusion method makes it possible to show the interest of the cooperative localization in this simplified case where the lateral deviation, the curvilinear orientation and the relative positioning between two vehicles are accurately known. This case study shows that, in some cases, lateral accuracy can be propagated to other vehicles to improve their longitudinal accuracy. The correlation issues of the errors are taken into account with a covariance intersection filter. An ICP (Iterative Closest Point) minimization algorithm is then used to determine the relative pose between the vehicles from LiDAR points and a 2D polygonal model representing the shape of the vehicle. Several correspondences of the LiDAR points with the model and different minimization approaches are compared. The propagation of absolute vehicle pose using relative poses with their uncertainties is done through non-linear equations that can have a strong impact on consistency. The different dynamic elements surrounding the ego-vehicle are estimated in a Local Dynamic Map (LDM) to enhance the static high definition map describing the center of the lane and its border. In our case, the agents are only communicating vehicles. The LDM is composed of the state of each vehicle. The states are merged using an asynchronous algorithm, fusing available data at variable times. The algorithm is decentralized, each vehicle computing its own LDM and sharing it. As the position errors of the GNSS receivers are biased, a marking detection is introduced to obtain the lateral deviation from the center of the lane in order to estimate these biases. LiDAR observations with the ICP method allow to enrich the fusion with the constraints between the vehicles. Experimental results of this fusion show that the vehicles are more accurately localized with respect to each other while maintaining consistent poses
Tchoupé, Tchendji Maurice. "Une approche grammaticale pour la fusion des réplicats partiels d'un document structuré : application à l'édition coopérative asynchrone." Rennes 1, 2009. https://tel.archives-ouvertes.fr/tel-01086564.
Full textA complex structured document is intentionnally represented as a tree decorated with attributes. If we focus our attention to purely structural aspects, the set of legal documents can be fully caracterized by an abstract context-free grammar. In this thesis we address the problem of the collaborative edition of structured documents in a distributed workflow system. We present and give a solution to the problem of how to merge a set of partial views of a document (edited asynchronously) into one global coherent document. For that purpose, we represent the potentially-infinite set of documents compatible with a given partial view as a coinductive data structure. This set is a regular set of trees that can be obtained as the image of the partial view of the document by the canonical morphism (anamorphism) associated with a coalgebra (some kind of tree automaton). Merging partial views then amounts to computing the intersection of the corresponding regular sets of trees which can be obtained using a synchronization operation on tree automata. We present a tool for demonstrating the various algorithms resulting from our study
Huet, Thierry. "Généralisation de cartes vectorielles d'occupation des sols : une approche par triangulation coopérative pour la fusion des polygones." Toulouse 1, 1996. http://www.theses.fr/1996TOU10065.
Full textMap generalization consists in transforming representations of geographic space in such a way as to enable spatial data to be mapped at various levels of abstraction. The work presented in this thesis is specifically concerned with the generalization of land use vector maps. The investigations into the state of-the-art performed in chapter one show that while generalization tools and methods exist, they are only applicable to raster data or topographic maps. The specificity of our investigation resides in the fact that information on a land use map is present throughout the map while a topographic map has blank areas. Existing generalization tools are therefore not applicable to land use vector maps. After presenting various models required for generalization, the author analyzes existing methods and tools from the standpoint of land use. In chapter two, a methodology is proposed implementing several generalization operators adapted to the task. Our method is based on the use of a land use-specific database, Corine Land Cover, and is put to a practical test at the end of the chapter using a model built with arc/info software. While the results obtained are satisfactory, our method - like all existing methods - do not provide a sufficient management power for the changeable nature of geographical data: it uses sequential processes and remains difficult to implement since generalized data must be re-computed whenever the initial data is upgraded. In response to this problem, chapter three presents a new merging method based on triangulation whose main feature is to provide a consistent way of processing polygons. This method allows us to propose a model based on spatio-temporal objects as polygon activity is described by an extension of the Pétri net formalism. Complete models of these active spatio-temporal polygons are presented at the end of the chapter and are implemented in the looping environment
Taher, Akar. "Approche coopérative et non supervisée de partitionnement d’images hyperspectrales pour l’aide à la décision." Thesis, Rennes 1, 2014. http://www.theses.fr/2014REN1S094/document.
Full textHyperspectral and more generally multi-component images are complex images which cannot be successfully partitioned using a single classification method. The existing non-cooperative classification methods, parametric or nonparametric can be categorized into three types: supervised, semi-supervised and unsupervised. Supervised parametric methods require a priori information and also require making hypothesis on the data distribution model. Semi-supervised methods require some a priori knowledge (e.g. number of classes and/or iterations), while unsupervised nonparametric methods do not require any a priori knowledge. In this thesis an unsupervised cooperative and adaptive partitioning system for hyperspectral images is developed, where its originality relies i) on the adaptive nature of the feature extraction ii) on the two-level evaluation and validation process to fuse the results, iii) on not requiring neither training samples nor the number of classes. This system is composed of four modules: The first module, classifies automatically the image pixels into textured and non-textured regions, and then different features of pixels are extracted according to the region types. Texture features are extracted for the pixels belonging to textured regions, and the local mean feature for pixels of non-textured regions. The second module consists of an unsupervised cooperative partitioning of each component, in which pixels of the different region types are classified in parallel via the features extracted previously using optimized versions of Fuzzy C-Means (FCM) and Adaptive Incremental Linde-Buzo-Gray algorithm (AILBG). For each algorithm the number of classes is estimated according to the weighted average dispersion of classes. The third module is the evaluation and conflict management of the intermediate classification results for the same component obtained by the two classifiers. To obtain a final reliable result, a two-level evaluation is used, the first one identifies the pixels classified into the same class by both classifiers and report them directly to the final classification result of one component. In the second level, a genetic algorithm (GA) is used to remove the conflicts between the invalidated remaining pixels. The fourth module is the evaluation and conflict management in the case of a multi-component image. The system handles all the components in parallel; where the above modules are applied on each component independently. The results of the different components are compared, and the adjacent components with highly similar results are grouped within a subset and fused using a GA also. To get the final partitioning result of the multi-component image, the intermediate results of the subsets are evaluated and fused by GA. The system is successfully tested on a large database of synthetic images (mono and multi-component) and also tested on two real applications: classification of invasive plants and pine trees detection
Lassoued, Khaoula. "Localisation de robots mobiles en coopération mutuelle par observation d'état distribuée." Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2289/document.
Full textIn this work, we study some cooperative localization issues for mobile robotic systems that interact with each other without using relative measurements (e.g. bearing and relative distances). The considered localization technologies are based on beacons or satellites that provide radio-navigation measurements. Such systems often lead to offsets between real and observed positions. These systematic offsets (i.e, biases) are often due to inaccurate beacon positions, or differences between the real electromagnetic waves propagation and the observation models. The impact of these biases on robots localization should not be neglected. Cooperation and data exchange (estimates of biases, estimates of positions and proprioceptive measurements) reduce significantly systematic errors. However, cooperative localization based on sharing estimates is subject to data incest problems (i.e, reuse of identical information in the fusion process) that often lead to over-convergence problems. When position information is used in a safety-critical context (e.g. close navigation of autonomous robots), one should check the consistency of the localization estimates. In this context, we aim at characterizing reliable confidence domains that contain robots positions with high reliability. Hence, set-membership methods are considered as efficient solutions. This kind of approach enables merging adequately the information even when it is reused several time. It also provides reliable domains. Moreover, the use of non-linear models does not require any linearization. The modeling of a cooperative system of nr robots with biased beacons measurements is firstly presented. Then, we perform an observability study. Two cases regarding the localization technology are considered. Observability conditions are identified and demonstrated. We then propose a set-membership method for cooperativelocalization. Cooperation is performed by sharing estimated positions, estimated biases and proprioceptive measurements. Sharing biases estimates allows to reduce the estimation error and the uncertainty of the robots positions. The algorithm feasibility is validated through simulation when the observations are beacons distance measurements with several robots. The cooperation provides better performance compared to a non-cooperative method. Afterwards, the cooperative algorithm based on set-membership method is tested using real data with two experimental vehicles. Finally, we compare the interval method performance with a sequential Bayesian approach based on covariance intersection. Experimental results indicate that the interval approach provides more accurate positions of the vehicles with smaller confidence domains that remain reliable. Indeed, the comparison is performed in terms of accuracy and uncertainty
Li, Hao. "Cooperative perception : Application in the context of outdoor intelligent vehicle systems." Phd thesis, Ecole Nationale Supérieure des Mines de Paris, 2012. http://pastel.archives-ouvertes.fr/pastel-00766986.
Full textLiu, Zhenjiao. "Incomplete multi-view data clustering with hidden data mining and fusion techniques." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAS011.
Full textIncomplete multi-view data clustering is a research direction that attracts attention in the fields of data mining and machine learning. In practical applications, we often face situations where only part of the modal data can be obtained or there are missing values. Data fusion is an important method for incomplete multi-view information mining. Solving incomplete multi-view information mining in a targeted manner, achieving flexible collaboration between visible views and shared hidden views, and improving the robustness have become quite challenging. This thesis focuses on three aspects: hidden data mining, collaborative fusion, and enhancing the robustness of clustering. The main contributions are as follows:1. Hidden data mining for incomplete multi-view data: existing algorithms cannot make full use of the observation of information within and between views, resulting in the loss of a large amount of valuable information, and so we propose a new incomplete multi-view clustering model IMC-NLT (Incomplete Multi-view Clustering Based on NMF and Low-Rank Tensor Fusion) based on non-negative matrix factorization and low-rank tensor fusion. IMC-NLT first uses a low-rank tensor to retain view features with a unified dimension. Using a consistency measure, IMC-NLT captures a consistent representation across multiple views. Finally, IMC-NLT incorporates multiple learning into a unified model such that hidden information can be extracted effectively from incomplete views. We conducted comprehensive experiments on five real-world datasets to validate the performance of IMC-NLT. The overall experimental results demonstrate that the proposed IMC-NLT performs better than several baseline methods, yielding stable and promising results.2. Collaborative fusion for incomplete multi-view data: our approach to address this issue is Incomplete Multi-view Co-Clustering by Sparse Low-Rank Representation (CCIM-SLR). The algorithm is based on sparse low-rank representation and subspace representation, in which jointly missing data is filled using data within a modality and related data from other modalities. To improve the stability of clustering results for multi-view data with different missing degrees, CCIM-SLR uses the Γ-norm model, which is an adjustable low-rank representation method. CCIM-SLR can alternate between learning the shared hidden view, visible view, and cluster partitions within a co-learning framework. An iterative algorithm with guaranteed convergence is used to optimize the proposed objective function. Compared with other baseline models, CCIM-SLR achieved the best performance in the comprehensive experiments on the five benchmark datasets, particularly on those with varying degrees of incompleteness.3. Enhancing the clustering robustness for incomplete multi-view data: we offer a fusion of graph convolution and information bottlenecks (Incomplete Multi-view Representation Learning Through Anchor Graph-based GCN and Information Bottleneck - IMRL-AGI). First, we introduce the information bottleneck theory to filter out the noise data with irrelevant details and retain only the most relevant feature items. Next, we integrate the graph structure information based on anchor points into the local graph information of the state fused into the shared information representation and the information representation learning process of the local specific view, a process that can balance the robustness of the learned features and improve the robustness. Finally, the model integrates multiple representations with the help of information bottlenecks, reducing the impact of redundant information in the data. Extensive experiments are conducted on several real-world datasets, and the results demonstrate the superiority of IMRL-AGI. Specifically, IMRL-AGI shows significant improvements in clustering and classification accuracy, even in the presence of high view missing rates (e.g. 10.23% and 24.1% respectively on the ORL dataset)
Kara-Falah, Riad. "Segmentation d'images : coopération, fusion, évaluation." Chambéry, 1995. http://www.theses.fr/1995CHAMS010.
Full textBooks on the topic "Fusion coopérative"
Trade, Canada Dept of Foreign Affairs and International. Nuclear : exchange of letters between the government of Canada and the Swiss Federal Council constituting an agreement concerning the non-proliferation assurances to be applied to tritium and tritium-related equipment transferred, directly or indirectly, from Canada to Switzerland, for use in the fusion programme of the European Atomic Energy Community (Euratom), and tritium produced or processed with such equipment (with annex), Berne, March 8, 1995, in force March 8, 1995 =: Nucléaire : échange de lettres entre le gouvernement du Canada et le Conseil Fédérale Suisse constituant un accord concernant les garanties de non-prolifération à être appliquées au tritium et aux équipements connexes au tritium transférés, directement ou indirectement, du Canada à la Suisse, pour utilisation dans le cadre du programme de fusion de la Communauté européenne de l'énergie atomique (Euratom), ainsi que le tritium produit ou traité avec ces équipements (avec annexe), Berne, le 8 mars 1995, en vigueur. Ottawa, Ont: Queen's Printer = Imprimeur de la Reine, 1998.
Find full textLeonard, Waverman, Comanor William S, and Goto Akira 1945-, eds. Competition policy in the global economy: Modalities for cooperation. London: Routledge, 1997.
Find full textJ, Evenett Simon, Lehmann Alexander, Steil Benn, Royal Institute of International Affairs., and Brookings Institution, eds. Antitrust goes global: What future for transatlantic cooperation? London: Royal Institute of International Affairs, 2000.
Find full textFusion Physics. International Atomic Energy Agency, 2012.
Find full textWaverman, Leonard, William S. Comanor, and Akira Goto. Competition Policy in the Global Economy: Modalities for Co-Operation. Taylor & Francis Group, 2005.
Find full textWaverman, Leonard, William S. Comanor, and Akira Goto. Competition Policy in the Global Economy: Modalities for Co-Operation. Taylor & Francis Group, 2005.
Find full textWaverman, Leonard, William S. Comanor, and Akira Goto. Competition Policy in the Global Economy: Modalities for Co-Operation. Taylor & Francis Group, 2005.
Find full textWaverman, Leonard, William S. Comanor, and Akira Goto. Competition Policy in the Global Economy: Modalities for Co-Operation. Taylor & Francis Group, 2005.
Find full textCompetition Policy in the Global Economy. Routledge, 1996.
Find full textWaverman, Leonard, William S. Comanor, and Akira Goto. Competition Policy in the Global Economy: Modalities for Co-Operation. Taylor & Francis Group, 2005.
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