Sökning: "Unsupervised Learning"

Visar resultat 6 - 10 av 361 uppsatser innehållade orden Unsupervised Learning.

  1. 6. Robust Statistical Jump Models with Feature Selection

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Jonatan Persson; [2023]
    Nyckelord :Clustering; Jump; Feature selection; Robust; Mathematics and Statistics;

    Sammanfattning : A large area in statistics and machine learning is cluster analysis. This field of research concerns the design of algorithms that allow computers to automatically categorize a set of observations into different groups in a reasonable way, without any prior information about which observations belongs to which group. LÄS MER

  3. 7. ISAR Imaging Enhancement Without High-Resolution Ground Truth

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Moltas Enåkander; [2023]
    Nyckelord :SAR; SAR Imaging; ISAR; ISAR Imaging; Machine learning; Convolutional neural network; CNN; neural network; Super resolution; Unsupervised learning;

    Sammanfattning : In synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR), an imaging radar emits electromagnetic waves of varying frequencies towards a target and the backscattered waves are collected. By either moving the radar antenna or rotating the target and combining the collected waves, a much longer synthetic aperture can be created. LÄS MER

  4. 8. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Thomas Proudhon; [2023]
    Nyckelord :Cardiac Magnetic Resonance Imaging; Deep Learning; Domain Adaptation; Unsupervised Segmentation; Image-to-image Translation;

    Sammanfattning : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. LÄS MER

  5. 9. Bullying Detection through Graph Machine Learning : Applying Neo4j’s Unsupervised Graph Learning Techniques to the Friends Dataset

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Olof Enström; Christoffer Eid; [2023]
    Nyckelord :Bullying; Graph Machine Learning; Community Detection; Neo4j; Data Preprocessing; Similarity Algorithms; Friends; Neo4j; Unsupervised Learning; Anti-bullying;

    Sammanfattning : In recent years, the pervasive issue of bullying, particularly in academic institutions, has witnessed a surge in attention. This report centers around the utilization of the Friends Dataset and Graph Machine Learning to detect possible instances of bullying in an educational setting. LÄS MER

  7. 10. Improving the Analysis of MINI-LINK Test Data Using Unsupervised Machine Learning

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Dinesh Kumar Nerella; [2023]
    Nyckelord :Unsupervised machine learning; Clustering;

    Sammanfattning : .... LÄS MER