Sökning: "Major labels"
Visar resultat 6 - 10 av 55 uppsatser innehållade orden Major labels.
6. Supply chain attacks in open source projects
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : The space of open source supply chain attacks is ever evolving and growing. There is extensive previous work identifying and collecting open source supply chain attacks, as well as identifying patterns in these attacks and proving that machine learning models may be able to detect these patterns. LÄS MER
7. Expressive Automatic Music Transcription : Using hard onset detection to transcribe legato slurs for violin
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Automatic Music Transcriptions systems such as ScoreCloud aims to convert audio signals to sheet music. The information contained in sheet music can be divided into increasingly descriptive layers, where most research on Automatic Music Transcription is restricted on note-level transcription and disregard expressive markings such as legato slurs. LÄS MER
8. Content Marketing i musikbranschen : En kvalitativ studie om hur majorbolag använder sociala medier i marknadsföringen av musik
Kandidat-uppsats, Linnéuniversitetet/Institutionen för marknadsföring (MF)Sammanfattning : Digitalization in the music industry and the emergence of social media, has created opportunities to reach more potential music consumers. Companies are increasingly integrating through visual media such as photos and videos into their social media marketing content. LÄS MER
9. Instability of a bi-directional TiFGAN in unsupervised speech representation learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A major challenge in the application of machine learning in the speech domain is the unavailability of annotated data. Supervised machine learning techniques are highly dependent on the amount of labelled data and the quality of the labels. LÄS MER
10. Convolutional Neural Networks: Performance on Imbalanced Data
Magister-uppsats, Umeå universitet/StatistikSammanfattning : Imbalanced data is a major problem in machine learning classification, since predictive performance can be hindered when one class occurs more frequently than the others. For example, in medical science, imbalanced data sets are very common. LÄS MER