Sökning: "map matching"

Visar resultat 1 - 5 av 52 uppsatser innehållade orden map matching.

  1. 1. Normalized Convolution Network and Dataset Generation for Refining Stereo Disparity Maps

    Master-uppsats, Linköpings universitet/Datorseende; Linköpings universitet/Datorseende

    Författare :Daniel Cranston; Filip Skarfelt; [2019]
    Nyckelord :Disparity Map; Disparity Refinement; Dataset Generation; Neural Network; Normalized Convolution;

    Sammanfattning : Finding disparity maps between stereo images is a well studied topic within computer vision. While both classical and machine learning approaches exist in the literature, they frequently struggle to correctly solve the disparity in regions with low texture, sharp edges or occlusions. LÄS MER

  2. 2. Improving movie recommendations through social media matching

    Kandidat-uppsats, Malmö universitet/Teknik och samhälle

    Författare :Roman Kuroptev; Anton Lagerlöf; [2019]
    Nyckelord :Twitter; Collaborative filtering; Recommender systems; LSI; Top k; Social-matching;

    Sammanfattning : Rekommendationssystem är idag väsentliga för att navigera den enorma mängd produkter tillgängliga via internet. Då social media i form av Twitter vid tidigare tillfällen använts för att generera filmrekommendationer har detta främst varit för att hantera cold-start, ett vanligt drabbande problem för collaborative-filtering. LÄS MER

  3. 3. Analysis of vehicle route choice during incidents

    Master-uppsats, Linköpings universitet/Kommunikations- och transportsystemLinköpings universitet/Tekniska fakulteten; Linköpings universitet/Kommunikations- och transportsystemLinköpings universitet/Tekniska fakulteten

    Författare :Joakim Janmyr; Daniel Wadell; [2018]
    Nyckelord :Route choice; Map matching; Route set generation; GPS traffic observations; Inferring paths from GPS observations;

    Sammanfattning : The use of GPS observations for investigating routing behaviors can be a good alternative to using more traditional traffic simulation models. In this paper, a method for inferring paths from GPS observations is proposed. Further, a route set generation algorithm is implemented. LÄS MER

  4. 4. Using Self-Organizing Maps to Identify Operational Risk

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Lukas Ljungblom; Jonatan Berggren; [2018]
    Nyckelord :Self-organizing Map; Machine Learning; Neural Network; Clustering; Operational Risk; Audit Change; Mathematics and Statistics;

    Sammanfattning : In recent years, the awareness and concern for operational risk in financial institutions have increased, and several disastrous events in the last two decades been caused by human error. With this, the regulatory demands have increased on the financial institutions to control operational risk. LÄS MER

  5. 5. Estimating Median Visiting Times using Re-identification

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Johan Rodhe; Gustaf Oxenstierna; [2018]
    Nyckelord :Machine learning; Computer vision; Image analysis; Re-identification; Deep learning; Mathematics and Statistics;

    Sammanfattning : Using customer visiting times stores can analyse customer behaviour and gain insights to help improve the store experience. This thesis investigates the possibility of using person re-identification to create a system that can estimate the median visiting time. Neural networks were used to analyse images of persons from two different views. LÄS MER