Auswahl der wissenschaftlichen Literatur zum Thema „Recherche de similarité“
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Zeitschriftenartikel zum Thema "Recherche de similarité"
SINAGA, SITI HARDIYANTI, ZULHERMAN ZULHERMAN und HESTI FIBRIASARI. „ANALYSE CONTRASTIVE DES EXPRESSIONS DU BUT EN FRANÇAIS ET EN INDONÉSIEN“. HEXAGONE Jurnal Pendidikan, Linguistik, Budaya dan Sastra Perancis 5, Nr. 2 (26.01.2017): 245. http://dx.doi.org/10.24114/hxg.v5i2.4663.
Der volle Inhalt der QuelleHanna, Pierre, Pascal Ferraro, Matthias Robine und Julien Allali. „Recherche de documents musicaux par similarité mélodique“. Document numérique 11, Nr. 3-4 (30.12.2008): 107–25. http://dx.doi.org/10.3166/dn.11.3-4.107-125.
Der volle Inhalt der QuelleBèzes, Christophe, und Maria Mercanti-Guérin. „La similarité en marketing : périmètre, mesure et champs d’application“. Recherche et Applications en Marketing (French Edition) 32, Nr. 1 (08.07.2016): 86–109. http://dx.doi.org/10.1177/0767370116653551.
Der volle Inhalt der QuelleWang, Peng, Véronique Eglin, Christine Largeron, Christophe Garcia, Josep Llados und Alicia Fornés. „Représentation des mots manuscrits par graphe pour la recherche par similarité“. Document numérique 17, Nr. 3 (30.12.2014): 53–75. http://dx.doi.org/10.3166/dn.17.3.53-75.
Der volle Inhalt der QuelleKarmis, Dimitrios. „Le multiculturalisme sous l’angle de l’éthique de l’hospitalité“. Tocqueville Review 34, Nr. 1 (Januar 2013): 65–88. http://dx.doi.org/10.3138/ttr.34.1.65.
Der volle Inhalt der QuelleHounyovi, Maxime Jean-Claude. „La consommation collaborative dans l’espace socio-numérique africain : une recherche exploratoire dans les groupes WhatsApp au Bénin“. La recherche en management internationale et l’Afrique — Une perspective de recherche-action 26, Nr. 3 (06.07.2022): 176–92. http://dx.doi.org/10.7202/1090301ar.
Der volle Inhalt der QuelleHanifah, A'idha, und Neli Purwani. „Le Développement de Card Match pour Soutenir L’apprentissage de La Morphosyntaxe avec La Technique Index Card Match“. Didacticofrancia Journal Didactique du FLE 11, Nr. 2 (21.06.2022): 10–18. http://dx.doi.org/10.15294/didacticofrancia.v11i2.56616.
Der volle Inhalt der QuelleHorcik, Zoya, und Marc Durand. „L’expérience mimétique dans l’apprentissage adulte: le cas des formations par simulation“. Swiss Journal of Educational Research 37, Nr. 1 (20.09.2018): 167–86. http://dx.doi.org/10.24452/sjer.37.1.4949.
Der volle Inhalt der QuelleHudon, Michèle, James Turner und Yves Devin. „Description et indexation des collections d’images en mouvement : résultats d’une enquête“. Documentation et bibliothèques 47, Nr. 1 (13.08.2015): 5–12. http://dx.doi.org/10.7202/1032646ar.
Der volle Inhalt der QuelleAurier, Philippe. „Analyse de la structure des marchés : Réflexions et propositions théoriques sur la relation entre deux alternatives de choix“. Recherche et Applications en Marketing (French Edition) 8, Nr. 1 (März 1993): 77–95. http://dx.doi.org/10.1177/076737019300800104.
Der volle Inhalt der QuelleDissertationen zum Thema "Recherche de similarité"
Chilowicz, Michel. „Recherche de similarité dans du code source“. Phd thesis, Université Paris-Est, 2010. http://tel.archives-ouvertes.fr/tel-00587628.
Der volle Inhalt der QuelleOmhover, Jean-François. „Recherche d'images par similarité de contenus régionaux“. Paris 6, 2004. http://www.theses.fr/2004PA066254.
Der volle Inhalt der QuelleMichaud, Dorian. „Indexation bio-inspirée pour la recherche d'images par similarité“. Thesis, Poitiers, 2018. http://www.theses.fr/2018POIT2288/document.
Der volle Inhalt der QuelleImage Retrieval is still a very active field of image processing as the number of available image datasets continuously increases.One of the principal objectives of Content-Based Image Retrieval (CBIR) is to return the most similar images to a given query with respect to their visual content.Our work fits in a very specific application context: indexing small expert image datasets, with no prior knowledge on the images. Because of the image complexity, one of our contributions is the choice of effective descriptors from literature placed in direct competition.Two strategies are used to combine features: a psycho-visual one and a statistical one.In this context, we propose an unsupervised and adaptive framework based on the well-known bags of visual words and phrases models that select relevant visual descriptors for each keypoint to construct a more discriminative image representation.Experiments show the interest of using this this type of methodologies during a time when convolutional neural networks are ubiquitous.We also propose a study about semi interactive retrieval to improve the accuracy of CBIR systems by using the knowledge of the expert users
Risser-Maroix, Olivier. „Similarité visuelle et apprentissage de représentations“. Electronic Thesis or Diss., Université Paris Cité, 2022. http://www.theses.fr/2022UNIP7327.
Der volle Inhalt der QuelleThe objective of this CIFRE thesis is to develop an image search engine, based on computer vision, to assist customs officers. Indeed, we observe, paradoxically, an increase in security threats (terrorism, trafficking, etc.) coupled with a decrease in the number of customs officers. The images of cargoes acquired by X-ray scanners already allow the inspection of a load without requiring the opening and complete search of a controlled load. By automatically proposing similar images, such a search engine would help the customs officer in his decision making when faced with infrequent or suspicious visual signatures of products. Thanks to the development of modern artificial intelligence (AI) techniques, our era is undergoing great changes: AI is transforming all sectors of the economy. Some see this advent of "robotization" as the dehumanization of the workforce, or even its replacement. However, reducing the use of AI to the simple search for productivity gains would be reductive. In reality, AI could allow to increase the work capacity of humans and not to compete with them in order to replace them. It is in this context, the birth of Augmented Intelligence, that this thesis takes place. This manuscript devoted to the question of visual similarity is divided into two parts. Two practical cases where the collaboration between Man and AI is beneficial are proposed. In the first part, the problem of learning representations for the retrieval of similar images is still under investigation. After implementing a first system similar to those proposed by the state of the art, one of the main limitations is pointed out: the semantic bias. Indeed, the main contemporary methods use image datasets coupled with semantic labels only. The literature considers that two images are similar if they share the same label. This vision of the notion of similarity, however fundamental in AI, is reductive. It will therefore be questioned in the light of work in cognitive psychology in order to propose an improvement: the taking into account of visual similarity. This new definition allows a better synergy between the customs officer and the machine. This work is the subject of scientific publications and a patent. In the second part, after having identified the key components allowing to improve the performances of thepreviously proposed system, an approach mixing empirical and theoretical research is proposed. This secondcase, augmented intelligence, is inspired by recent developments in mathematics and physics. First applied tothe understanding of an important hyperparameter (temperature), then to a larger task (classification), theproposed method provides an intuition on the importance and role of factors correlated to the studied variable(e.g. hyperparameter, score, etc.). The processing chain thus set up has demonstrated its efficiency byproviding a highly explainable solution in line with decades of research in machine learning. These findings willallow the improvement of previously developed solutions
Damak, Leïla. „Corps du consommateur et design du produit : recherche d'une similarité ou d'une complémentarité ?“ Paris 9, 1996. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=1996PA090029.
Der volle Inhalt der QuelleThe purpose of this research is to propose and illustrate the self-congruity theory by studying the relationship between body aspects of the consumer and "body" aspects of a product design, where "body" equal the physical shape of any selected consumer product. Several studies had shown that the physical features of any selected product design (or the product form) congruent with the consumer's body characteristics would be influenced by body image and its correlates
Daoudi, Imane. „Recherche par similarité dans les grandes bases de données multimédia : application à la recherche par le contenu dans les bases d'images“. Lyon, INSA, 2009. http://theses.insa-lyon.fr/publication/2009ISAL0057/these.pdf.
Der volle Inhalt der Quelle[The emergence of digital multimedia data is increasing. Access, sharing and retrieval of these data have become the real needs. This requires the use of powerful tools and search engine for fast and efficient access to data. The spectacular growth of technologies and numeric requires the use of powerful tools and search engine for fast and efficient access to data. My thesis work is in the field of multimedia data especially images. The main objectives is to develop a fast and efficient indexing and searching method of the k nearest neighbour which is adapted for applications in Content-based image retrieval (CBIR) and for properties of image descriptors (high volume, large dimension, etc. ). The main idea is on one hand, to provide answers to the problems of scalability and the curse of dimensionality and the other to deal with similarity problems that arise in indexing and CBIR. We propose in this thesis two different approaches. The first uses a multidimensional indexing structure based on approximation approach or filtering, which is an improvement in the RA-Blocks method. The proposed method is based on the proposal of an algorithm of subdividing the data space which improves the storage capacity of the index and the CPU times. In a second approach, we propose a multidimensional indexing method suitable for heterogeneous data (colour, texture, shape). The second proposed method combines a non linear dimensionality reduction technique with a multidimensional indexing approach based on approximation. This combination allows one hand to deal with the curse of dimensionality scalability problems and also to exploit the properties of the non-linear space to find suitable similarity measurement for the nature of manipulated data. ]
Zahid, Youssef. „Recherche de similarité d'images à la base du modèle 2D string, application aux radiographies pulmonaires“. Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0005/MQ44991.pdf.
Der volle Inhalt der QuelleHoonakker, Frank. „Graphes condensés de réactions, applications à la recherche par similarité, la classification et la modélisation“. Université Louis Pasteur (Strasbourg) (1971-2008), 2008. https://publication-theses.unistra.fr/restreint/theses_doctorat/2008/HOONAKKER_Frank_2008.pdf.
Der volle Inhalt der QuelleThis work is devoted to the developpement of new methods of mining of chemical reactions based on the Condensed Graph of Reaction (CGR) approach. A CGR integrates an information about all reactants and products of a given chemical reaction into one 2D molecular graph. Due to the application of both conventional (simple, double, etc. ) and dynamical (single to double, broken single, etc. ) bond types, a CGR ”condenses” a reaction (involving many molecules) into one pseudo-molecule. This formally allows one to apply to CGRs the chemoinformatics approaches earlier developed for individual compounds. Three possible applications of CGRs were considered: – unsupervised classification of reactions based on clustering algorithms; – reactions similarity search, and – Quantitative Structure Reactivity Relationships (QSRR). Model calculations performed on four databases containing from 1 000 to 200 000 reactions demonstrated high efficiency of the developed approaches and software tools. An system for optimizing reactions condition has been designed, and patented in the USA
Negrel, Romain. „Représentations optimales pour la recherche dans les bases d'images patrimoniales“. Thesis, Cergy-Pontoise, 2014. http://www.theses.fr/2014CERG0703/document.
Der volle Inhalt der QuelleIn the last decades, the development of scanning and storing technologies resulted in the development of many projects of cultural heritage digitization.The massive and continuous flow of numerical data in cultural heritage databases causes many problems for indexing.Indeed, it is no longer possible to perform a manual indexing of all data.To index and ease the access to data, many methods of automatic and semi-automatic indexing have been proposed in the last years.The current available methods for automatic indexing of non-textual documents (images, video, sound, 3D model, ...) are still too complex to implement for large volumes of data.In this thesis, we focus on the automatic indexing of images.To perform automatic or semi-automatic indexing, it is necessary to build an automatic method for evaluating the similarity between two images.Our work is based on image signature methods ; these methods involve summarising the visual content of each image in a signature (single vector), and then using these signatures to compute the similarity between two images.To extract the signatures, we use the following pipeline: First, we extract a large number of local descriptors of the image; Then we summarize all these descriptors in a large signature; Finally, we strongly reduce the dimensionality of the resulting signature.The state of the art signatures based on this pipeline provide very good performance in automatic indexing.However, these methods generally incur high storage and computational costs that make their implementation impossible on large volumes of data.In this thesis, our goal is twofold : First, we wish to improve the image signatures to achieve very good performance in automatic indexing problems ; Second, we want to reduce the cost of the processing chain to enable scalability.We propose to improve an image signature of the state of the art named VLAT (Vectors of Locally Aggregated Tensors).Our improvements increase the discriminative power of the signature.To reduce the size of the signatures, we perform linear projections of the signatures in a lower dimensional space.We propose two methods to compute the projectors while maintaining the performance of the original signatures.Our first approach is to compute the projectors that best approximate the similarities between the original signatures.The second method is based on the retrieval of quasi-copies; We compute the projectors that meet the constraints on the rank of retrieved images with respect to the query image.The most expensive step of the extraction pipeline is the dimentionality reduction step; these costs are due to the large dimentionality of the projectors.To reduce these costs, we propose to use sparse projectors by introducing a sparsity constraint in our methods.Since it is generally complex to solve an optimization problem with a strict sparsity constraint, we propose for each problem a method for approximating sparse projectors.This thesis work is the subject of experiments showing the practical value of the proposed methods in comparison with existing methods
Fotsoh, Tawaofaing Armel. „Recherche d’entités nommées complexes sur le web : propositions pour l’extraction et pour le calcul de similarité“. Thesis, Pau, 2018. http://www.theses.fr/2018PAUU3003/document.
Der volle Inhalt der QuelleRecent developments in information technologies have made the web an important data source. However, the web content is very unstructured. Therefore, it is a difficult task to automatically process this web content in order to extract relevant information. This is a reason why research work related to Information Extraction (IE) on the web are growing very quickly. Similarly, another very explored research area is the querying of information extracted on the web to answer an information need. This other research area is known as Information Retrieval (IR). Our research work is at the crossroads of both areas. The main goal of our work is to develop strategies and techniques for crawling the web in order to extract complex Named Entities (NEs) (NEs with several properties that may be text or other NEs). We then propose to index them and to query them in order to answer information needs. This work was carried out within the T2I team of the LIUPPA laboratory, in collaboration with Cogniteev, a company which core business is focused on the analysis of web content. The issues we had to deal with were the extraction of complex NEs on the web and the development of IR services supplied by the extracted data. Our first contribution is related to complex NEs extraction from text content. For this contribution, we take into consideration several problems, in particular the noisy context characterizing some properties (the web page describing an event for example, may contain more than one dates: the event’s date and the date of ticket’s sales opening). For this particular problem, we introduce a block detection module that focuses property's extraction on relevant text blocks. Our experiments show an improvement of system’s performances. We also focused on address extraction where the main issue arises from the fact that there is not a standard way for writing addresses in general and on the web in particular. We therefore propose a pattern-based approach which uses some lexicons for extracting addresses from text, regardless of proprietary resources.Our second contribution deals with similarity computation between complex NEs. In the state of the art, this similarity computation is generally performed in two steps: (i) first, similarities between properties are calculated; (ii) then the obtained similarities are aggregated to compute the overall similarity. Our main proposals focuses on the second step. We propose three techniques for aggregating property’s similarities. The first two are based on the weighted sum of these property’s similarities (simple linear combination and logistic regression). The third technique however, uses decision trees for the aggregation. Finally, we also propose a last approach based on clustering and Salton vector model. This last approach evaluates the similarity at the complex NE level without computing property’s similarities. We also propose a similarity computation function between spatial EN, one represented by a point and the other by a polygon. This completes those of the state of the art
Bücher zum Thema "Recherche de similarité"
Hare, Brian, und Shinya Yamamoto. Minding the bonobo mind. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198728511.003.0001.
Der volle Inhalt der QuelleHare, Brian, und Vanessa Woods. Cognitive comparisons of genus Pan support bonobo self-domestication. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198728511.003.0015.
Der volle Inhalt der QuelleBuchteile zum Thema "Recherche de similarité"
Prendergast, Christopher. „Walking on Stilts“. In Mirages and Mad Beliefs. Princeton University Press, 2013. http://dx.doi.org/10.23943/princeton/9780691155203.003.0006.
Der volle Inhalt der QuelleAmewu, Seexonam Komi. „Du récit biblique a l’aventure scientifique et technique : une analyse comparatiste autour de conscience de tracteur de Sony Labou Tansi“. In Aux carrefours de la langue, de la littérature, de la didactique et de la société : la recherche francophone en action, 317–37. Observatoire européen du plurilinguisme, 2021. http://dx.doi.org/10.3917/oep.agbef.2021.01.0317.
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