Sökning: "deep learning-based clustering model"

Hittade 5 uppsatser innehållade orden deep learning-based clustering model.

  1. 1. Point clouds in the application of Bin Picking

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Abhijeet Anand; [2023]
    Nyckelord :Point clouds; Computer vision; 3D instance segmentation; Point cloud registration; Deep learning; Clustering;

    Sammanfattning : Automatic bin picking is a well-known problem in industrial automation and computer vision, where a robot picks an object from a bin and places it somewhere else. There is continuous ongoing research for many years to improve the contemporary solution. LÄS MER

  3. 2. Unsupervised Machine Learning Based Anomaly Detection in Stockholm Road Traffic

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

    Författare :Vilma Hellström; [2023]
    Nyckelord :Anomaly detection; DBSCAN; LSTM; Machine learning; Synthetic anomalies; Unsupervised learning; Anomalidetektering; DBSCAN; LSTM; maskininlärning; syntetiska anomalier; oövervakad inlärning;

    Sammanfattning : This thesis is a study of anomaly detection in vehicle traffic data in central Stockholm. Anomaly detection is an important tool in the analysis of traffic data for improved urban planing. Two unsupervised machine learning models are used, the DBSCAN clustering model and the LSTM deep learning neural network. LÄS MER

  4. 3. Radar Detection Using Deep Learning

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Ziliang Xiong; Leonardo Carrera; [2022]
    Nyckelord :Deep Learning; Autonomous Driving; Radar; Point Cloud; Technology and Engineering;

    Sammanfattning : This thesis aims to reproduce and improve a paper about dynamic road user detection on 2D bird's-eye-view radar point cloud in the context of autonomous driving. We choose RadarScenes, a recent large public dataset, to train and test deep neural networks. LÄS MER

  5. 4. A study of transfer learning on data-driven motion synthesis frameworks

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

    Författare :Nuo Chen; [2022]
    Nyckelord :Transfer learning; data-driven motion synthesis; objective-driven motion generation; rig-agnostic encoding; deep learning-based clustering model; procedural animation; Kunskapsöverföring; data-driven rörelsesyntetisering; procedurell animation; mål-driven animation-genereringsmodel; rig-agnostisk-kodning; djupinlärningsbaserad klusteringsmodel;

    Sammanfattning : Various research has shown the potential and robustness of deep learning-based approaches to synthesise novel motions of 3D characters in virtual environments, such as video games and films. The models are trained with the motion data that is bound to the respective character skeleton (rig). LÄS MER

  7. 5. Automated tracking and analysis of mouse whisker movements

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

    Författare :Athira Athira; [2019]
    Nyckelord :;

    Sammanfattning : Whisking behaviour, observed in animals like rodents and marsupials, have been of great interest to neuroscientists, as a model for the study of mechanisms behind active sensing. Most of the studies of the whisking behaviour utilize video recordings of the movement. LÄS MER