Sökning: "fine art"

Visar resultat 1 - 5 av 62 uppsatser innehållade orden fine art.

  1. 1. Deep Fusion of Imaging Modalities for Semantic Segmentation of Satellite Imagery

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Carl Sundelius; [2018]
    Nyckelord :Semantic segmentation; convolutional neural networks; remote sensing; satellite imagery; multimodal images;

    Sammanfattning : In this report I summarize my master’s thesis work, in which I have investigated different approaches for fusing imaging modalities for semantic segmentation with deep convolutional networks. State-of-the-art methods for semantic segmentation of RGB-images use pre-trained models, which are fine-tuned to learn task-specific deep features. LÄS MER

  2. 2. Sorgen gestaltad : Om den svenska gravskulpturens konstnärer och beställare

    Master-uppsats, Uppsala universitet/Konstvetenskapliga institutionen

    Författare :Berit Linden; [2018]
    Nyckelord :Tomb sculpture; gender; commissioners; Gravskulptur; genus; beställare;

    Sammanfattning : This study Shaped grief. On Swedish Tomb Sculpture’s Artists and Commissioners begins by contextualizing the field in question, the field of the tomb sculpture and the tomb sculptor, the burial sites and representations of death, the sculpture of that period, and especially the iconography of the sepulcher art, and the situation of the female sculptors. LÄS MER

  3. 3. Classifying Hate Speech using Fine-tuned Language Models

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Erik Brorson; [2018]
    Nyckelord :machine learning; natural language processing; hate speech; transfer learning; semi-supervised learning; recurrent neural networks;

    Sammanfattning : Given the explosion in the size of social media, the amount of hate speech is also growing. To efficiently combat this issue we need reliable and scalable machine learning models. Current solutions rely on crowdsourced datasets that are limited in size, or using training data from self-identified hateful communities, that lacks specificity. LÄS MER

  4. 4. Collaborative Recommendations for Music Session Instrumentation : Contrasting Graph to ML Based Approaches

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

    Författare :Victor Axelsson; [2018]
    Nyckelord :;

    Sammanfattning : Digital music composers are required to become proficient with relevant tools necessary for music in their particular domain. The learning curve for acquiring the skills for creative music composing, relative to the respective tooling, can be steep. LÄS MER

  5. 5. Scaling cloud-native Apache Spark on Kubernetes for workloads in external storages

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

    Författare :Piotr Mrowczynski; [2018]
    Nyckelord :Cloud Computing; Spark on Kubernetes; Kubernetes Operator; Elastic Re- source Provisioning; Cloud-Native Architectures; Openstack Magnum; Data Mining; Cloud Computing; Spark över Kubernetes; Kubernetes Operator; Elastic Re- source Provisioning; Cloud-Native Architectures; Openstack Magnum; Containers; Data Mining;

    Sammanfattning : CERN Scalable Analytics Section currently offers shared YARN clusters to its users as monitoring, security and experiment operations. YARN clusters with data in HDFS are difficult to provision, complex to manage and resize. This imposes new data and operational challenges to satisfy future physics data processing requirements. LÄS MER