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Artykuły w czasopismach na temat "Détection de contenu explicite"
Sénéchal, Carole. "Le contenu explicite de la convention collective, un leurre ?" Revue générale de droit 43, nr 1 (11.12.2013): 89–129. http://dx.doi.org/10.7202/1020840ar.
Pełny tekst źródłaOstiguy, Luc, i Gilles Gagné. "Proposition d’un contenu linguistique à l’oral pour l’école primaire : une expérience réalisée en classe de 4e année". Revue québécoise de linguistique 16, nr 2 (12.05.2009): 103–42. http://dx.doi.org/10.7202/602596ar.
Pełny tekst źródłaBeaulieu, Suzie, Leif French i Samuel Gagnon. "I’veulent-tu parler comme nous-autres ? Opinions d’apprenants sur la forme interrogative totale en français laurentien". Arborescences, nr 7 (22.08.2018): 90–105. http://dx.doi.org/10.7202/1050970ar.
Pełny tekst źródłaCrelier, Damien. "L’étiquette déchirée ? De quelques cas d’incivilité dans les Mémoires de Saint-Simon". Littératures classiques N° 111, nr 2 (23.10.2023): 53–67. http://dx.doi.org/10.3917/licla1.111.0053.
Pełny tekst źródłaHidri, Oumaya. "Faut-il travailler son corps pour réussir un entretien d’embauche ? La place de l’apparence physique dans les manuels d’Aide à la recherche d’emploi". Lien social et Politiques, nr 59 (15.09.2008): 21–32. http://dx.doi.org/10.7202/018811ar.
Pełny tekst źródłaBoudreau, Christian, i Daniel J. Caron. "La participation citoyenne en ligne au Québec : Conditions organisationnelles et leviers de transformation". Recherche 57, nr 1 (3.06.2016): 155–76. http://dx.doi.org/10.7202/1036625ar.
Pełny tekst źródłaHoehn, L. A., J. Faros Barros, J. Desmeules i K. Ing-Lorenzini. "Importance des interactions médicamenteuses néfastes chez le patient oncologique : comparaison de programmes de détection informatisés". Douleur et Analgésie 32, nr 1 (marzec 2019): 21–36. http://dx.doi.org/10.3166/dea-2019-0046.
Pełny tekst źródłaIchau, Elke, i Leen d’Haenens. "Images de l’islam. Représentations de l’islam et des musulmans dans les journaux télévisés flamands". Diversité urbaine 15, nr 1 (7.11.2016): 47–67. http://dx.doi.org/10.7202/1037871ar.
Pełny tekst źródłaPampalon, R., D. Hamel, P. Gamache, A. Simpson i MD Philibert. "Valider un indice de défavorisation en santé publique : un exercice complexe, illustré par l'indice québécois". Maladies chroniques et blessures au Canada 34, nr 1 (luty 2014): 14–25. http://dx.doi.org/10.24095/hpcdp.34.1.03f.
Pełny tekst źródłaBarancy, Félix. "Pascal aux limites de la philosophie : permanences et reconfigurations d’une figure philosophique". Revue de métaphysique et de morale N° 120, nr 4 (14.11.2023): 459–76. http://dx.doi.org/10.3917/rmm.234.0459.
Pełny tekst źródłaRozprawy doktorskie na temat "Détection de contenu explicite"
Vaglio, Andrea. "Leveraging lyrics from audio for MIR". Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAT027.
Pełny tekst źródłaLyrics provide a lot of information about music since they encapsulate a lot of the semantics of songs. Such information could help users navigate easily through a large collection of songs and to recommend new music to them. However, this information is often unavailable in its textual form. To get around this problem, singing voice recognition systems could be used to obtain transcripts directly from the audio. These approaches are generally adapted from the speech recognition ones. Speech transcription is a decades-old domain that has lately seen significant advancements due to developments in machine learning techniques. When applied to the singing voice, however, these algorithms provide poor results. For a number of reasons, the process of lyrics transcription remains difficult. In this thesis, we investigate several scientifically and industrially difficult ’Music Information Retrieval’ problems by utilizing lyrics information generated straight from audio. The emphasis is on making approaches as relevant in real-world settings as possible. This entails testing them on vast and diverse datasets and investigating their scalability. To do so, a huge publicly available annotated lyrics dataset is used, and several state-of-the-art lyrics recognition algorithms are successfully adapted. We notably present, for the first time, a system that detects explicit content directly from audio. The first research on the creation of a multilingual lyrics-toaudio system are as well described. The lyrics-toaudio alignment task is further studied in two experiments quantifying the perception of audio and lyrics synchronization. A novel phonotactic method for language identification is also presented. Finally, we provide the first cover song detection algorithm that makes explicit use of lyrics information extracted from audio
Loukkas, Nassim. "Synthèse d'observateurs ensemblistes pour l’estimation d’état basées sur la caractérisation explicite des bornes d’erreur d’estimation". Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAT040/document.
Pełny tekst źródłaIn This work, we propose two main new approaches for the set-membershipstate estimation problem based on explicit characterization of the estimation error bounds. These approaches can be seen as a combination between a punctual observer and a setmembership characterization of the observation error. The objective is to reduce the complexity of the on-line implimentation, reduce the on-line computation time and improve the accuracy of the estimated state enclosure.The first approach is a set-membership observer based on ellipsoidal invariant sets for linear discrete-time systems and also for Linear Parameter Varying systems. The proposed approach provides a deterministic state interval that is build as the sum of the estimated system states and its corresponding estimation error bounds. The important feature of the proposed approach is that does not require propagation of sets.The second approach is an interval version of the Luenberger state observer for uncertain discrete-time linear systems based on interval and invariant set computation. The setmembership state estimation problem is considered as a punctual state estimation issue coupled with an interval characterization of the estimation error
Cámara, Chávez Guillermo. "Analyse du contenu vidéo par apprentissage actif". Cergy-Pontoise, 2007. http://www.theses.fr/2007CERG0380.
Pełny tekst źródłaThis thesis presents work towards a unified framework for semi-automated video indexing and interactive retrieval. To create an efficient index, a set of representative key frames are selected from the entire video content. We developed an automatic shot boundary detection algorithm to get rid of parameters and thresholds. We adopted a SVM classifier due to its ability to use very high dimensional feature spaces while at the same time keeping strong generalization guarantees from few training examples. We deeply evaluated the combination of features and kernels and present interesting results obtained, for shot extraction TRECVID 2006 Task. We then propose an interactive video retrieval system: RETINVID, to significantly reduce the number of key frames annotated by the user. The key frames are selected based on their ability to increase the knowledge of the data. We perform an experiment against the 2005 TRECVID benchmark for high-level task
Derbas, Nadia. "Contributions à la détection de concepts et d'événements dans les documents vidéos". Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENM035/document.
Pełny tekst źródłaA consequence of the rise of digital technology is that the quantity of available collections of multimedia documents is permanently and strongly increasing. The indexing of these documents became both very costly and impossible to do manually. In order to be able to analyze, classify and search multimedia documents, indexing systems have been defined. However, most of these systems suffer quality or practicability issues. Their performance is limited and depends on the data volume and data variability. Indexing systems analyze multimedia documents, looking for static concepts (bicycle, chair,...), or events (wedding, protest,...). Therefore, the variability in shapes, positions, lighting or orientation of objects hinders the process. Another aspect is that systems must be scalable. They should be able to handle big data while using reasonable amount of computing time and memory.The aim of this thesis is to improve the general performance of content-based multimedia indexing systems. Four main contributions are brought in this thesis for improving different stages of the indexing process. The first one is an "early-early fusion method" that merges different information sources in order to extract their deep correlations. This method is used for violent scenes detection in movies. The second contribution is a weakly supervised method for basic concept (objects) localization in images. This can be used afterwards as a new descriptor to help detecting complex concepts (events). The third contribution tackles the noise reduction problem on ambiguously annotated data. Two methods are proposed: a shot annotation generator, and a shot weighing method. The last contribution is a generic descriptor optimization method, based on PCA and non-linear transforms.These four contributions are tested and evaluated using reference data collections, including TRECVid and MediaEval. These contributions helped our submissions achieving very good rankings in those evaluation campaigns
Carlier, Axel. "Compréhension de contenus visuels par analyse conjointe du contenu et des usages". Thesis, Toulouse, INPT, 2014. http://www.theses.fr/2014INPT0085/document.
Pełny tekst źródłaThis thesis focuses on the problem of understanding visual contents, which can be images, videos or 3D contents. Understanding means that we aim at inferring semantic information about the visual content. The goal of our work is to study methods that combine two types of approaches: 1) automatic content analysis and 2) an analysis of how humans interact with the content (in other words, usage analysis). We start by reviewing the state of the art from both Computer Vision and Multimedia communities. Twenty years ago, the main approach was aiming at a fully automatic understanding of images. This approach today gives way to different forms of human intervention, whether it is through the constitution of annotated datasets, or by solving problems interactively (e.g. detection or segmentation), or by the implicit collection of information gathered from content usages. These different types of human intervention are at the heart of modern research questions: how to motivate human contributors? How to design interactive scenarii that will generate interactions that contribute to content understanding? How to check or ensure the quality of human contributions? How to aggregate human contributions? How to fuse inputs obtained from usage analysis with traditional outputs from content analysis? Our literature review addresses these questions and allows us to position the contributions of this thesis. In our first set of contributions we revisit the detection of important (or salient) regions through implicit feedback from users that either consume or produce visual contents. In 2D, we develop several interfaces of interactive video (e.g. zoomable video) in order to coordinate content analysis and usage analysis. We also generalize these results to 3D by introducing a new detector of salient regions that builds upon simultaneous video recordings of the same public artistic performance (dance show, chant, etc.) by multiple users. The second contribution of our work aims at a semantic understanding of fixed images. With this goal in mind, we use data gathered through a game, Ask’nSeek, that we created. Elementary interactions (such as clicks) together with textual input data from players are, as before, mixed with automatic analysis of images. In particular, we show the usefulness of interactions that help revealing spatial relations between different objects in a scene. After studying the problem of detecting objects on a scene, we also adress the more ambitious problem of segmentation
Hamroun, Mohamed. "Indexation et recherche par contenu visuel, sémantique et multi-niveaux des documents multimédia". Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0372.
Pełny tekst źródłaDue to the latest technological advances, the amount of multimedia data is constantly increasing. In this context, the problem is how to effectively use this data? it is necessary to set up tools to facilitate its access and manipulation.To achieve this goal, we first propose an indexation and retrieval model for video shots (or images) by their visual content (ISE). The innovative features of ISE are as follows: (i) definition of a new descriptor "PMC" and (ii) application of the genetic algorithm (GA) to improve the retrieval (PMGA).Then, we focus on the detection of concepts in video shots (LAMIRA approach). In the same context, we propose a semi-automatic annotation method for video shots in order to improve the quality of indexation based on the GA.Then, we provide a semantic indexation method separating the data level from a conceptual level and a more abstract, contextual level. This new system also incorporates mechanisms for expanding the request and relevance feedback. To add more fluidity to the user query, the user can perform a navigation using the three levels of abstraction. Two systems called VISEN and VINAS have been set up to validate these last positions.Finally, a SIRI Framework was proposed on the basis of a multi-level indexation combining our 3 systems: ISE, VINAS and VISEN. This Framework provides a two-dimensional representation of features (high level and low level) for each image
Artaud, Chloé. "Détection des fraudes : de l’image à la sémantique du contenu : application à la vérification des informations extraites d’un corpus de tickets de caisse". Thesis, La Rochelle, 2019. http://www.theses.fr/2019LAROS002/document.
Pełny tekst źródłaCompanies, administrations, and sometimes individuals, have to face many frauds on documents they receive from outside or process internally. Invoices, expense reports, receipts...any document used as proof can be falsified in order to earn more money or not to lose it. In France, losses due to fraud are estimated at several billion euros per year. Since the flow of documents exchanged, whether digital or paper, is very important, it would be extremely costly and time-consuming to have them all checked by fraud detection experts. That’s why we propose in our thesis a system for automatic detection of false documents. While most of the work in automatic document detection focuses on graphic clues, we seek to verify the textual information in the document in order to detect inconsistencies or implausibilities.To do this, we first compiled a corpus of documents that we digitized. After correcting the characters recognition outputs and falsifying part of the documents, we extracted the information and modelled them in an ontology, in order to keep the semantic links between them. The information thus extracted, and increased by its possible disambiguation, can be verified against each other within the document and through the knowledge base established. The semantic links of ontology also make it possible to search for information in other sources of knowledge, particularly on the Internet
Sahli, Samir. "Extraction de l'objet de référence par la transformation multiéchelle Beamlet : détection de pistes d'atterrissage dans une image aérienne". Thesis, Université Laval, 2008. http://www.theses.ulaval.ca/2008/25100/25100.pdf.
Pełny tekst źródłaMeng, Zide. "Analyse temporelle et sémantique des réseaux sociaux typés à partir du contenu de sites généré par des utilisateurs sur le Web". Thesis, Université Côte d'Azur (ComUE), 2016. http://www.theses.fr/2016AZUR4090/document.
Pełny tekst źródłaWe propose an approach to detect topics, overlapping communities of interest, expertise, trends andactivities in user-generated content sites and in particular in question-answering forums such asStackOverFlow. We first describe QASM (Question & Answer Social Media), a system based on socialnetwork analysis to manage the two main resources in question-answering sites: users and contents. Wealso introduce the QASM vocabulary used to formalize both the level of interest and the expertise ofusers on topics. We then propose an efficient approach to detect communities of interest. It relies onanother method to enrich questions with a more general tag when needed. We compared threedetection methods on a dataset extracted from the popular Q&A site StackOverflow. Our method basedon topic modeling and user membership assignment is shown to be much simpler and faster whilepreserving the quality of the detection. We then propose an additional method to automatically generatea label for a detected topic by analyzing the meaning and links of its bag of words. We conduct a userstudy to compare different algorithms to choose the label. Finally we extend our probabilistic graphicalmodel to jointly model topics, expertise, activities and trends. We performed experiments with realworlddata to confirm the effectiveness of our joint model, studying the users’ behaviors and topicsdynamics
Ollagnier, Anaïs. "Analyse de requêtes en langue naturelle et extraction d'informations bibliographiques pour une recherche de livres orientée contenu efficace". Thesis, Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0556/document.
Pełny tekst źródłaIn the recent years, the Web has undergone a tremendous growth regarding both content and users. This has led to an information overload problem in which people are finding it increasingly difficult to locate the right information at the right time. Recommender systems have been developed to address this problem, by guiding users through the big ocean of information. The recommendation approaches have multiplied and have been successfully implemented, particularly through approaches such as collaborative filtering. However, there are still challenges and limitations that offer opportunities for new research. Among these challenges, the design of reading recommendation systems has become a new expanding research focus following the emergence of digital libraries.Traditionally, libraries play a passive role in interaction with users due to the lack of effective search and recommendation tools. In this manuscript, we will study the creation of a reading recommendation system in which we'll try to exploit the possibilities of digital access to scientific information. Our objectives are: - to improve the understanding of user needs expressed in natural language search queries for books, articles and posts. This work will require the establishment of processes capable of exploiting the structures of data and their dimension; - to compensate for the absence of explicit links between books and journal articles by automatically detecting and analyzing bibliographic references, and then to propose links;- to achieve a reading recommendation system based on textual data to provide a customized recommendation list to active users, similar to systems already used by users profiles
Książki na temat "Détection de contenu explicite"
Shelton, Warren. Contenu Explicite: Histoires Chaudes de l'érotisme Hardcore. Independently Published, 2022.
Znajdź pełny tekst źródłaCzęści książek na temat "Détection de contenu explicite"
PHAM, Minh-Tan, i Grégoire MERCIER. "Détection de changements sur les graphes de séries SAR". W Détection de changements et analyse des séries temporelles d’images 1, 183–219. ISTE Group, 2022. http://dx.doi.org/10.51926/iste.9056.ch7.
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