Littérature scientifique sur le sujet « Classification de documents Inter-modaux »
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Articles de revues sur le sujet "Classification de documents Inter-modaux"
Kim, Pan-Jun, et Jae-Yun Lee. « Utilizing Unlabeled Documents in Automatic Classification with Inter-document Similarities ». Journal of the Korean Society for information Management 24, no 1 (30 mars 2007) : 251–71. http://dx.doi.org/10.3743/kosim.2007.24.1.251.
Texte intégralPuri, Shalini, et Satya Prakash Singh. « A Hybrid Hindi Printed Document Classification System Using SVM and Fuzzy ». Journal of Information Technology Research 12, no 4 (octobre 2019) : 107–31. http://dx.doi.org/10.4018/jitr.2019100106.
Texte intégralKumari, Lalitha, et Ch Satyanarayana. « An novel cluster based feature selection and document classification model on high dimension trec data ». International Journal of Engineering & ; Technology 7, no 1.1 (21 décembre 2017) : 466. http://dx.doi.org/10.14419/ijet.v7i1.1.10146.
Texte intégralDwi P., Galang Amanda, Gregorius Edwadr et Agus Zainal Arifin. « Pembobotan Berdasarkan Tingkat Kesamaan Semantik pada Metode Fuzzy Semi-Supervised Co-Clustering untuk Pengelompokkan Dokumen Teks ». Jurnal ULTIMATICS 6, no 2 (1 décembre 2014) : 46–51. http://dx.doi.org/10.31937/ti.v6i2.333.
Texte intégralJamnezhad, Mohammad Eiman, et Reza Fattahi. « The comparative study of text documents clustering algorithms ». Environment Conservation Journal 16, SE (5 décembre 2015) : 133–38. http://dx.doi.org/10.36953/ecj.2015.se1614.
Texte intégralAlmagrabi, Hana, Areej Malibari et John McNaught. « Corpus Analysis and Annotation for Helpful Sentences in Product Reviews ». Computer and Information Science 11, no 2 (29 avril 2018) : 76. http://dx.doi.org/10.5539/cis.v11n2p76.
Texte intégralJacobsen, Michael. « Doing Business the Chinese Way ? On Manadonese Chinese, Entrepreneurship in North Sulawesi ». Copenhagen Journal of Asian Studies 24, no 2 (10 avril 2006) : 105–36. http://dx.doi.org/10.22439/cjas.v24i2.822.
Texte intégralBelozerov, Vitaly, Natalia Shchitova et Nikolai Sopnev. « Regulatory and documentary standards of the sustainable development of urban agglomerations in the Russian Federation ». InterCarto. InterGIS 27, no 1 (2021) : 17–28. http://dx.doi.org/10.35595/2414-9179-2021-1-27-17-28.
Texte intégralZhao, Henghui, Wensheng Zhang, Mengxing Huang, Siling Feng et Yuanyuan Wu. « A Multi-Granularity Heterogeneous Graph for Extractive Text Summarization ». Electronics 12, no 10 (10 mai 2023) : 2184. http://dx.doi.org/10.3390/electronics12102184.
Texte intégralSolomonovich, Nadav, et Ruth Kark. « Land Privatization in Nineteenth-century Ottoman Palestine ». Islamic Law and Society 22, no 3 (1 mai 2015) : 221–52. http://dx.doi.org/10.1163/15685195-00223p02.
Texte intégralThèses sur le sujet "Classification de documents Inter-modaux"
Bakkali, Souhail. « Multimodal Document Understanding with Unified Vision and Language Cross-Modal Learning ». Electronic Thesis or Diss., La Rochelle, 2022. http://www.theses.fr/2022LAROS046.
Texte intégralThe frameworks developed in this thesis were the outcome of an iterative process of analysis and synthesis between existing theories and our performed studies. More specifically, we wish to study cross-modality learning for contextualized comprehension on document components across language and vision. The main idea is to leverage multimodal information from document images into a common semantic space. This thesis focuses on advancing the research on cross-modality learning and makes contributions on four fronts: (i) to proposing a cross-modal approach with deep networks to jointly leverage visual and textual information into a common semantic representation space to automatically perform and make predictions about multimodal documents (i.e., the subject matter they are about); (ii) to investigating competitive strategies to address the tasks of cross-modal document classification, content-based retrieval and few-shot document classification; (iii) to addressing data-related issues like learning when data is not annotated, by proposing a network that learns generic representations from a collection of unlabeled documents; and (iv) to exploiting few-shot learning settings when data contains only few examples
Abichou, Klich Amna. « Décomposition de la variance dans le modèle de classification de trajectoires de biomarqueurs ». Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE1199/document.
Texte intégralThe analysis of longitudinal measures –called trajectories– is more and more frequent in clinical research. One of the interests of this analysis is to identify groups of individuals with similar trajectories. The obtained classification is used to understand and explore the heterogeneity of trajectories among subjects. The classification can be performed by a model that predicts the same trajectory for all the subjects that are classified in the same group. The objective of this thesis is to develop an extension to the standard classification model that gives greater consideration to the variability within groups, (i) the variability of marker values (residual variance), and (ii) the variability of the individual trajectories inside a group (between-individual variance). Two classification models were developed: 1) a first model that allows unequal residual variance across groups, and 2) a second model that takes into account a between-individual variance within each group instead of predicting the same trajectory for all subjects in the same group, a variance that can be equal or unequal across groups. The interest of these two models has been studied by simulations and through clinical applications. Overall, when the number of trajectories and measurements per trajectory is sufficient, these models gives better classification compared to the standard classification model. Moreover, except for highly controlled experimental designs, the two sources of variability are inherent to research in health. Therefore, these models are very relevant from a clinical point of view
Alameh, Kawthar. « Contribution au diagnostic et a l'analyse de défauts d'une machine synchrone à aimants permanents ». Thesis, Normandie, 2017. http://www.theses.fr/2017NORMR072/document.
Texte intégralThe advent of new magnetic materials and recent advances in power electronics have played a major role in the progress of hybrid electric vehicles. Nowadays, permanent magnet synchronous machines (PMSM) thanks to their performances, especially their energy efficiency, are considered as ideal candidates for the traction chains of hybrid and electric vehicles. However, due to material aging, manufacturing defects or severe operating conditions, different types of faults are capable to occur in the machine components, its control or measuring devices. In order to ensure safety, reliability and availability, the integration of a fault diagnosis and condition monitoring approach in the automotive electrical powertrain system is becoming more and more important. In this context, the aim of the thesis is to contribute to the diagnosis and characterization of faults in the PMSM based on a vibration analysis. First, analytical modeling approaches for the PMSM and inter-turn short-circuits, eccentricity and rotor demagnetization faults will be proposed. The major interest of such models, in a diagnosis context, is to study the behavior of the machine in the presence of studied faults in order to deduce the most suitable detection methods. In addition, numerical models will be developed in order to validate the analytical magnetic and mechanical parts of the machine as well as the demagnetization fault. In the phase of fault impact analysis, we will focus on the cases of rotor eccentricity and demagnetization. The fault indicators will be extracted from the vibratory signal representations in time and space domains and their Fourier transforms, in the cases of single faults and the cases of two combined faults. For single fault cases, two diagnosis approaches will be proposed: the first uses the principle of statistical tests and fault signature tables, inspired by model-based diagnosis methods, while the second relies on a set of three neural networks, such as each one is with a single input and a single output and dedicated to isolate one type of fault. Finally, the performance of these two approaches, in terms of robustness and adaptability, will be compared for the same training and test sets
Chapitres de livres sur le sujet "Classification de documents Inter-modaux"
Hasanov, Fakhri J., Frederick L. Joutz, Jeyhun I. Mikayilov et Muhammad Javid. « Literature Review ». Dans SpringerBriefs in Economics, 5–18. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-12275-0_2.
Texte intégralLévy, Pierre. « An Exercise in Inter-Religious Conceptualization ». Dans New Media and Communication Across Religions and Cultures, 82–98. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5035-0.ch006.
Texte intégralHolland, A. J. « Classification, diagnosis, psychiatric assessment, and needs assessment ». Dans New Oxford Textbook of Psychiatry, 1819–25. Oxford University Press, 2012. http://dx.doi.org/10.1093/med/9780199696758.003.0241.
Texte intégralActes de conférences sur le sujet "Classification de documents Inter-modaux"
Tian, Bing, Yong Zhang, Jin Wang et Chunxiao Xing. « Hierarchical Inter-Attention Network for Document Classification with Multi-Task Learning ». Dans Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California : International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/495.
Texte intégralBurford, Clint, Steven Bird et Timothy Baldwin. « Collective Document Classification with Implicit Inter-document Semantic Relationships ». Dans Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics. Stroudsburg, PA, USA : Association for Computational Linguistics, 2015. http://dx.doi.org/10.18653/v1/s15-1012.
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