[PDF] Top 20 Machine learning techniques for content-based information retrieval

... Machine Learning Techniques for Content-based Information Retrieval Thèse de doctorat de l'Université Paris-Saclay et de l'Université Hassan II de Casablanca ... Voir le document complet

... Achref.EL OUNI@uca.fr Abstract—Several methods based on visual methods (BoVW, VLAD, ...) or recent deep leaning methods try to solve the CBIR problem. Bag of visual words (BoVW) is one of most module used ... Voir le document complet

... cross-modal retrieval has made sig- nificant ...cross-modal retrieval is to retrieve relevant information across heterogeneous modali- ...from Content-Based Image Retrieval ... Voir le document complet

... aspect for objective and reproducible eectiveness evaluation [ 8 ...of content-based ...data for PSB has been to associate, to each semantically homogeneous group of objects, a class name ... Voir le document complet

... of Machine Learning techniques in the task of determining which factors are more revealing with respect to ...clinical information, and PSG results as a ...preparation techniques ... Voir le document complet

... employing machine learning techniques in information filtering (IF) due, in part, to the capabilities of such techniques to deal with multi-dimensional, partially structured, and noisy ... Voir le document complet

... in information retrieval inter- esting content for mobile ...Earlier techniques in Context-Based Information Retrieval (CBIR) [6, 10, 1] are based solely on ... Voir le document complet

... introduced an ontology-based framework for qualification recognition (Kismihók et al., 2012) across the European Union (EU). In an effort to better reconciliate labour markets with employment opportunities, ... Voir le document complet

... developed for different DOT applications such as intrinsic CW multispectral and TD fluorescence DOT ...algorithm for CW multispectral imaging is developed to be able to recon- struct both absorption and ... Voir le document complet

... les techniques classiques de recherche d'images par le contenu rencontrent des dicultés à eectuer cette ...les techniques utilisant les machines à vecteur de sup- port (SVM), qui sont très performantes ... Voir le document complet

... songs for a playlist to make playlist creation easier, as well as to extend listening beyond the end of existing ...truth for training a machine learning model for playlist ... Voir le document complet

... structural information of entities of ontologies to nd ...structural information here is the re- lationship between entities such as sub-classes, domain, range, restriction property, ...constraint ... Voir le document complet

... active learning system in which the learning algorithm is able to interactively query a network of users, rather than a single user, to annotate new data ...system based on the potential combination ... Voir le document complet

... Representation learning methods are extremely flexible and have the potential to bring dramatic improvements to the state-of-the-art in ...standard retrieval techniques. This shows that the current ... Voir le document complet

... 2010 for both official ...MAiP for the DTD based costs and +1% for our empirically set costs compared to the first ranked run in the official results ... Voir le document complet

... liés à un utilisateur particulier, concernant ses activités passées et futures. L’objectif est de fournir aux utilisateurs la proximité sociale la plus appropriée, et des services à valeur ajoutée qui s’appuient ... Voir le document complet

... Selection based on Machine Learning for Resource Management Steps of our proposition Resource management in SDN ...and Machine Learning (ML) with the benefits of SDN can be a ... Voir le document complet

... clusters for all 10 ...optimal for the Learning to chose ...done for both the metasystem and the ...on for ”medium easy” level, ”easy” level and finally the ”easiest” level on which ... Voir le document complet

... ). The collection we used (TREC7 and TREC8 adhoc sets) is composed of approximately 528155 documents (2 gigabytes), a set of 100 natural language topic statements and the associated relevance judgments. In our ... Voir le document complet

... This thesis presents a new architecture for information discovery based on a hierarchy of content routers that provide both browsing and search services to end users.[r] ... Voir le document complet