Sökning: "feature representation"

Visar resultat 11 - 15 av 169 uppsatser innehållade orden feature representation.

  1. 11. Des pieds de la croix à l’art total : Etude des représentations de l’Eglise et de l’art sacré à travers l’ekphrasis huysmansienne

    Master-uppsats, Linnéuniversitetet/Institutionen för språk (SPR)

    Författare :Yann Batto; [2023]
    Nyckelord :Huysmans; ekphrasis; hypotyposis; sacred art; catholic novels; plainchant; architecture; intermediality; Gesamtkunstwerk; medievalism; Huysmans; ekphrasis; hypotyposes; art sacré; romans catholiques; plain-chant; architecture; intermédialité; Gesamtkunstwerk; médiévalisme;

    Sammanfattning : The term "ekphrasis" is indisputably problematic. In fact, depending on which definition one might use ekphrastic processes can either be broad, that is extended to any type of description as it was taught in rhetoric treaties during antiquity, or according to its modern definition circumcised to literary representations of works of art. LÄS MER

  3. 12. Quantum Algorithms for Feature Selection and Compressed Feature Representation of Data

    Master-uppsats, KTH/Fysik

    Författare :William Laius Lundgren; [2023]
    Nyckelord :Feature selection; autoencoders; quantum machine learning; quantum circuits; quantum annealing; Funktionsval; datakompression; kvantmaskininlärning; kvantalgoritmer; kvantkretsar;

    Sammanfattning : Quantum computing has emerged as a new field that may have the potential to revolutionize the landscape of information processing and computational power, although physically constructing quantum hardware has proven difficult,and quantum computers in the current Noisy Intermediate Scale Quantum (NISQ) era are error prone and limited in the number of qubits they contain.A sub-field within quantum algorithms research which holds potential for the NISQ era, and which has seen increasing activity in recent years, is quantum machine learning, where researchers apply approaches from classical machine learning to quantum computing algorithms and explore the interplay between the two. LÄS MER

  4. 13. DN:s nya Norrland : En digital textanalys av representationen av Norrland efter Dagens Nyheters satsningar i norra Sverige

    Kandidat-uppsats, Umeå universitet/Institutionen för kultur- och medievetenskaper

    Författare :Filip Forsman; Anton Hellgren; [2023]
    Nyckelord :Dagens Nyheter; quantitative; digital text analysis; Gephi; Norrland; media shadow; centres and peripheries; representation; agenda setting; reproducing; news values.;

    Sammanfattning : DN:s new Norrland – A digital text analysis of the Swedish national newspaper Dagens Nyheters new editorial offices in northern Sweden.     The aim of this study is to compare the coverage of Norrland in the Swedish newspaper Dagens Nyheter before and after the fourth of April 2022. LÄS MER

  5. 14. Overcoming The New Item Problem In Recommender Systems : A Method For Predicting User Preferences Of New Items

    Master-uppsats, Stockholms universitet/Statistiska institutionen

    Författare :Alice Jonason; [2023]
    Nyckelord :Recommender systems; Content-based systems; Implicit ratings; Latent Dirichlet Allocation; Vector Space Model;

    Sammanfattning : This thesis addresses the new item problem in recommender systems, which pertains to the challenges of providing personalized recommendations for items which have limited user interaction history. The study proposes and evaluates a method for generating personalized recommendations for movies, shows, and series on one of Sweden’s largest streaming platforms. LÄS MER

  7. 15. Multi-modal Models for Product Similarity : Comparative evaluation of unimodal and multi-modal architectures for product similarity prediction and product retrieval

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Christos Frantzolas; [2023]
    Nyckelord :Computer Vision; Natural Language Processing; Representation Learning; Metric Learning; Multimodal Retrieval; Bildigenkänning; Språkteknologi; Representationsinlärning; Metrisk inlärning; Multimodal informationssökning;

    Sammanfattning : With the rapid growth of e-commerce, enabling effective product recommendation systems and improving product search for shoppers plays a crucial role in driving customer satisfaction. Traditional product retrieval approaches have mainly relied on unimodal models focusing on text data. LÄS MER