Sökning: "fine art"
Visar resultat 1 - 5 av 62 uppsatser innehållade orden fine art.
- Master-uppsats, Linköpings universitet/Datorseende
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
- Master-uppsats, Uppsala universitet/Konstvetenskapliga institutionen
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
- Master-uppsats, Uppsala universitet/Statistiska institutionen
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. Collaborative Recommendations for Music Session Instrumentation : Contrasting Graph to ML Based ApproachesMaster-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)
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
- Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)
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