Academic literature on the topic 'Arbres de données'
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Journal articles on the topic "Arbres de données"
Bigsby, Hugh. "Le modèle spatial de rendement est-il une solution plus pertinente pour l¿exploitation des forêts tropicales ?" BOIS & FORETS DES TROPIQUES 314, no. 314 (December 1, 2012): 57. http://dx.doi.org/10.19182/bft2012.314.a20491.
Full textAngoboy Ilondea, Bhely, Hans Beeckman, Dakis-Yaoba Ouedraogo Ouedraogo, Nils Bourland, Tom De Mil, Jan Van Den Bulcke, Joris Van Acker, et al. "Une forte saisonnalité du climat et de la phénologie reproductive dans la forêt du Mayombe : l’apport des données historiques de la Réserve de Luki en République démocratique du Congo." BOIS & FORETS DES TROPIQUES 341 (July 20, 2019): 39. http://dx.doi.org/10.19182/bft2019.341.a31753.
Full textDorisca, Samba, Luc Durrieu De Madron, Bénédicte Fontez, Adeline Giraud, and Bernard Riéra. "Établissement d'équations entre le diamètre et le volume total de bois des arbres, adaptées au Cameroun." BOIS & FORETS DES TROPIQUES 308, no. 308 (June 1, 2011): 75. http://dx.doi.org/10.19182/bft2011.308.a20477.
Full textFayolle, Adeline, Jacques Rondeux, Jean-Louis Doucet, Gaëtan Ernst, Cristina Bouissou, Samuel Quevauvillers, Nils Bourland, Richard Fétéké, and Philippe Lejeune. "Réviser les tarifs de cubage pour mieux gérer les forêts du Cameroun." BOIS & FORETS DES TROPIQUES 317, no. 317 (September 1, 2013): 35. http://dx.doi.org/10.19182/bft2013.317.a20521.
Full textTochon, Guillaume, Jean-Baptiste Féret, Silvia Valero, Roberta E. Martin, Raul Tupayachi, Jocelyn Chanussot, Philippe Salembier, and Gregory P. Asner. "Segmentation hyperspectrale de forêts tropicales par Arbres de Partition Binaires." Revue Française de Photogrammétrie et de Télédétection, no. 202 (April 16, 2014): 55–65. http://dx.doi.org/10.52638/rfpt.2013.51.
Full textGUIT, Brahim, and Bouzid NEDJIMI. "Croissance radiale du pin d’Alep (Pinus halepensis Mill.) en fonction des paramètres stationnels dans les massifs forestiers naturels de l’Atlas saharien algérien." BOIS & FORETS DES TROPIQUES 345 (October 26, 2020): 5–13. http://dx.doi.org/10.19182/bft2020.345.a31803.
Full textNdamiyehe Ncutirakiza, Jean-Baptiste, Philippe Lejeune, Sylvie Gourrlet-Fleury, Adeline Fayolle, Léopold Ndjele Mianda-Bungi, and Gauthier Ligot. "Quantifier les dimensions des houppiers à l’aide d’images aériennes à haute résolution pour estimer l’accroissement diamétrique des arbres dans les forêts d’Afrique centrale." BOIS & FORETS DES TROPIQUES 343 (March 27, 2020): 67–81. http://dx.doi.org/10.19182/bft2020.343.a31848.
Full textWete, E., J. L. Betti, J. R. Ngueguim, Siegfried D. Dibong, and N. O. F. Njukouyou. "Analyse comparative de la soutenabilité des méthodes d’exploitation de Prunus africana (Hook. f.) Kalkman en vigueur au Cameroun : incidence biologique et socio-économique." International Journal of Biological and Chemical Sciences 14, no. 4 (August 17, 2020): 1405–15. http://dx.doi.org/10.4314/ijbcs.v14i4.19.
Full textFétéké, Fousseni, Jérôme Perin, Adeline Fayolle, Kasso Dainou, Nils Bourland, Yao Lambert Kouadio, Serge Jean Joel Moneye, et al. "MODÉLISER LA CROISSANCE DE QUATRE ESSENCES POUR AMÉLIORER LA GESTION FORESTIÈRE AU CAMEROUN." BOIS & FORETS DES TROPIQUES 325, no. 325 (July 17, 2015): 5. http://dx.doi.org/10.19182/bft2015.325.a31269.
Full textHarris, William V. "Bois et déboisement dans la Méditerranée antique." Annales. Histoire, Sciences Sociales 66, no. 1 (March 2011): 105–40. http://dx.doi.org/10.1017/s0395264900005485.
Full textDissertations / Theses on the topic "Arbres de données"
Brossier, Gildas. "Problèmes de représentation de données par des arbres." Rennes 2, 1986. http://www.theses.fr/1986REN20014.
Full textFirst, we begin by studying the properties of distance tables associated with tree-representations, and the relation between these distances. Then we define ordered representations, construct a class of ordering algorithms and study their optimal properties under different conditions. The decomposition properties of distance tables allow us to construct fast algorithms for representations with some optimal properties we extend results when data are asymmetry matrices. Last of all we show in the case of rectangular matrices the necessary and sufficient conditions for the simultaneous representations of two sets of data. When conditions are not satisfied we propose some approximation algorithms
Acosta, Francisco. "Les arbres balances : spécification, performances et contrôle de concurrence." Montpellier 2, 1991. http://www.theses.fr/1991MON20201.
Full textDufort, Julie. "Estimation automatisée de la hauteur des arbres à partir de données d'altimétrie laser." Mémoire, École de technologie supérieure, 2000. http://espace.etsmtl.ca/855/1/DUFORT_Julie.pdf.
Full textGermain, Christian. "Etude algébrique, combinatoire et algorithmique de certaines structures non associatives (magmas, arbres, parenthésages)." Dijon, 1996. http://www.theses.fr/1996DIJOS018.
Full textFlitti, Farid. "Techniques de réduction de données et analyse d'images multispectrales astronomiques par arbres de Markov." Phd thesis, Université Louis Pasteur - Strasbourg I, 2005. http://tel.archives-ouvertes.fr/tel-00156963.
Full textFlitti, Farid. "Techniques de réduction de données et analyse d'images multispéctrales astronomiques par arbres de Markov." Université Louis Pasteur (Strasbourg) (1971-2008), 2005. https://publication-theses.unistra.fr/public/theses_doctorat/2005/FLITTI_Farid_2005.pdf.
Full textThe development of astronomical multispectral sensors allows data of a great richness. Nevertheless, the classification of multidimensional images is often limited by Hughes phenomenon: when dimensionality increases the number of parameters of the model grows and the precision of their estimates falls inevitably, therefore the quality of the segmentation dramatically decreases. It is thus imperative to discard redundant information in order to carry out robust segmentation or classification. In this thesis, we have proposed two methods for multispectral image dimensionnality reduction: 1) bands regrouping followed by local projections; 2) radio cubes reduction by a mixture of Gaussians model. We have also proposed joint reduction/segmentation scheme based on the regularization of the mixture of probabilistic principal components analyzers (MPPCA). For the segmentation task, we have used a Bayesian approach based on hierarchical Markov models namely the hidden Markov tree and the pairwise Markov tree. These models allow fast and exact computation of the a posteriori probabilities. For the data driven term, we have used three formulations: 1) the classical multidimensional Gaussian distribution 2) the multidimensional generalized Gaussian distribution formulated using copulas theory 3) the likelihood of the probabilistic PCA model (within the framework of the regularized MPPCA). The major contribution of this work consists in introducing various hierarchical Markov models for multidimensional and multiresolution data segmentation. Their exploitation for data issued from wavelets analysis, adapted to the astronomical context, enabled us to develop new denoising and fusion techniques of multispectral astronomical images. All our algorithms are unsupervised and were validated on synthetic and real images
Galluccio, Laurent. "Analyse et segmentation de données non supervisées à l'aide de graphe." Nice, 2010. http://www.theses.fr/2010NICE4022.
Full textThis thesis presents new data segmentation and data clustering methods applied to astrophysical data. A priori information such as the number of classes or the underlying data distribution is not necessarily known. Many classification methods in astrophysics community are based on a priori knowledges or on observations already realized on data. Classifications obtained will depend on these information and will be limited by the experts knowledge. The goal of developing clustering algorithms is to get rid of these limitations, to be able to potentially detect new classes. The main approach chosen in this thesis is the use of a graph built on the data : the Minimal Spanning Tree (MST). By connecting the points by segments we build a structure which encapsulates the being relations between each pair of points. We propose a method to estimate both the number and the position of clusters by exploring the connections of the MST built. A data partition is obtained by using this information to initialize some clustering algorithms. A new class of multi-rooted MSTs is introduced. From their construction, new distance measures are derived allowing to take into account both the local and global data neighborhood. A clustering method which combines results of multiple partitionments realized on the multi-rooted trees is also exposed. The methods proposed are validated on benchmarks and applied to astrophysical datasets
Fournier, Dominique. "Etude de la qualité de données à partir de l'apprentissage automatique : application aux arbres d'induction." Caen, 2001. http://www.theses.fr/2001CAEN2048.
Full textBoneva, Iovka. "Expressivité, satisfiabilité et model checking d'une logique spatiale pour arbres non ordonnés." Lille 1, 2006. https://ori-nuxeo.univ-lille1.fr/nuxeo/site/esupversions/dffac6b2-50d6-4e6d-9e4c-f8f5731c75e2.
Full textJabbour-Hattab, Jean. "Une approche probabiliste du profil des arbres binaires de recherche." Versailles-St Quentin en Yvelines, 2001. http://www.theses.fr/2001VERS002V.
Full textBooks on the topic "Arbres de données"
Colloquium on Trees in Algebra and Programming (13th 1988 Nancy, France). CAAP '88: 13th Colloquium on Trees in Algebra and Programming, Nancy, France, March 21-24, 1988 : proceedings. Berlin: Springer-Verlag, 1988.
Find full textBeidler, John. Data structures and algorithms: An object-oriented approach using Ada 95. New York: Springer, 1997.
Find full textCormen, Thomas H., and Ronald L. Rivest. Introduction à l'algorithmique : Cours et exercices corrigés, 2e édition. Dunod, 2002.
Find full textData Structures and Algorithms: An Object-Oriented Approach Using Ada 95 (Undergraduate Texts in Computer Science). Springer, 1996.
Find full textBook chapters on the topic "Arbres de données"
Chauvin, Brigitte, Julien Clément, and Danièle Gardy. "Arbres, algorithmes et données." In Arbres pour l’Algorithmique, 61–117. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93725-0_3.
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