Sökning: "Determinantal Point Process"

Hittade 2 uppsatser innehållade orden Determinantal Point Process.

  1. 1. Efficient and robust reduction of bounding boxes of a multi-class neural network’s output for vehicular radar-systems

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

    Författare :Elazab Gasser; [2022]
    Nyckelord :Non-maximum suppression; Deep Learning; Machine Learning; Autonomous Vehicles; Determinantal Point Process; Icke-maximal undertryckning; Djupinlärning; Maskininlärning; Autonoma fordon; Determinant punktprocess;

    Sammanfattning : Object detection has been a fundamental part of many emerging technologies, such as autonomous vehicles, robotics, and security. As deep learning is the main reason behind the leap of performance in object detection, it has mostly been associated with a post-processing step of non-maximum suppression (NMS) to reduce the number of resulting bounding boxes output from the network to, ideally, one box per object. LÄS MER

  3. 2. Simulation of interpolating determinantal point processes

    Magister-uppsats, KTH/Matematik (Avd.)

    Författare :Philip Kennerberg; [2015]
    Nyckelord :;

    Sammanfattning : In this master thesis I aim to present some of the basic theory of determinantal processes. Some preliminary theory of random measures and point-process theory is reviewed in the first chapter. In the second chapter I introduce the notion of a determinantal process, through what is called trace-class kernels. LÄS MER