Sökning: "deep representations"

Visar resultat 1 - 5 av 94 uppsatser innehållade orden deep representations.

  1. 1. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder

    Kandidat-uppsats, Lunds universitet/Fysiska institutionen

    Författare :Max Svensson; [2024]
    Nyckelord :Machine Learning; Self-supervised learning; AI; Physics; Medicine; Physics and Astronomy;

    Sammanfattning : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. LÄS MER

  2. 2. Unsupervised Clustering of Behavior Data From a Parking Application : A Heuristic and Deep Learning Approach

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Edvard Magnell; Joakim Nordling; [2023]
    Nyckelord :ML; Machine learning; clustering; unsupervised learning; deep learning; autoencoder; AI; artificial intelligence;

    Sammanfattning : This report aims to present a project in the field of unsupervised clustering on human behavior in a parking application. With increasing opportunities to collect and store data, the demands to utilize the data in meaningful ways also increase. LÄS MER

  3. 3. Self-supervised representation learning from electrocardiogram data for medical applications

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Matilda Andersson; [2023]
    Nyckelord :Self-supervised learning; Deep learning; Cardiovascular disease; Electrocardiogram; ECG; SimCLR; BYOL; VICReg; Mathematics and Statistics;

    Sammanfattning : Cardiovascular diseases are the leading cause of death worldwide, increasing yearly. However, many abnormalities in heart cycles can be discovered and treated years before the onset of diseases. But in most societies, regular health checkups are a concept reserved for cars, not humans. LÄS MER

  4. 4. LiDAR Perception in a Virtual Environment Using Deep Learning : A comparative study of state-of-the-art 3D object detection models on synthetic data

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

    Författare :Samuel Skoog; [2023]
    Nyckelord :Object Detection; LiDAR; CARLA; Deep Learning; Autonomous Vehicles; Objektdetektering; LiDAR; CARLA; Djupinlärning; Autonoma fordon;

    Sammanfattning : Perceiving the environment is a crucial aspect of autonomous vehicles. To plan the route, the autonomous vehicle needs to be able to detect objects such as cars and pedestrians. This is possible through 3D object detection. However, labeling this type of data is time-consuming. LÄS MER

  5. 5. Detecting flight patterns using deep learning

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Victor Carlsson; [2023]
    Nyckelord :machine learning; AI; pattern detection; CNN; LSTM; transfer learning; ADS-B; flight pattern; trajectory classification;

    Sammanfattning : With more aircraft in the air than ever before, there is a need for automating the surveillance of the airspace. It is widely known that aircraft with different intentions fly in different flight patterns. Support systems for finding different flight patterns are therefore needed. LÄS MER