Sökning: "övervakat lärande"

Visar resultat 6 - 10 av 19 uppsatser innehållade orden övervakat lärande.

  1. 6. Shape Detection in Images Using Machine Learning

    Uppsats för yrkesexamina på grundnivå, Örebro universitet/Institutionen för naturvetenskap och teknik

    Författare :Axel Devlin; [2021]
    Nyckelord :Multi-class classification; SVM; support vector machine; supervised learning; machine learning; Flerklass klassificering; SVM; stödvektormaskin; övervakat lärande; maskininlärning;

    Sammanfattning : Rapporten undersöker hur man ska gå tillväga för att implementera en support vector machinesom kan klassificera olika former i bilder med hjälp av OpenCV libraryt i Python. Dettakommer att göras genom att beräkna scale-invariant features. De scale-invariant features somkommer undersökas är simple features och Hu moments. LÄS MER

  3. 7. A comparison of supervised and semi-supervised learning for classification of truck stop locations

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

    Författare :Mengdi Xue; [2021]
    Nyckelord :;

    Sammanfattning : GPS-based data has been an important source for researchers and commercial fleet companies to study and build transportation models, since GPS uses passive information collecting without including too much human participation, and thus provides the possibility of collecting huge amount of data. Recent research shows that the GPS data can be used to solve different kinds of transportation related problems using machine learning algorithms. LÄS MER

  4. 8. Depth Estimation from Images using Dense Camera-Lidar Correspondences and Deep Learning

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

    Författare :Ajinkya Khoche; [2020]
    Nyckelord :;

    Sammanfattning : Depth estimation from 2D images is a fundamental problem in Computer Vision, and is increasingly becoming an important topic for Autonomous Driving. A lot of research is driven by innovations in Convolutional Neural Networks, which efficiently encode low as well as high level image features and are able to fuse them to find accurate pixel correspondences and learn the scale of the objects. LÄS MER

  5. 9. Advanced Clinical Data Processing: A Predictive Maintenance Model for Anesthesia Machines

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Kerim Numanovic; [2020]
    Nyckelord :Appled Physics; Tillämpad fysik;

    Sammanfattning : The maintenance of medical devices is of great importance to ensure that the devices are stable, well-functioning, and safe to use. The current method of maintenance, which is called preventive maintenance, has its advantages but can be problematic both from an operators’ and a manufacturers’ side. LÄS MER

  7. 10. Scoring functions evaluation for active learning in humanoid robotics

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

    Författare :Riccardo Grigoletto; [2020]
    Nyckelord :;

    Sammanfattning : Object detection is an essential ability for humanoid robots. State-of-the art deep learning models for object detection reached remarkable results on general-purpose datasets. However, these methods are typically based on the supervised learning framework, requiring large amounts of data and long computational time to be trained. LÄS MER