Sökning: "Python"

Visar resultat 1 - 5 av 382 uppsatser innehållade ordet Python.

  1. 1. Object Detection in Object Tracking System for Mobile Robot Application

    Master-uppsats, KTH/Matematisk statistik

    Författare :Alessandro Foa'; [2019]
    Nyckelord :;

    Sammanfattning : This thesis work takes place at the Emerging Technologies department of Volvo Construction Equipment(CE), in the context of a larger project which involves several students. The focus is a mobile robot built by Volvo for testing some AI features such as Decision Making, Natural Language Processing, Speech Recognition, Object Detection. LÄS MER

  2. 2. A Comparative Study of Facial Recognition Techniques : With focus on low computational power

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi; Högskolan i Skövde/Institutionen för informationsteknologi; Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Timmy Schenkel; Oliver Ringhage; Nicklas Branding; [2019]
    Nyckelord :Machine Learning; Facial Recognition; Low Computational Power;

    Sammanfattning : Facial recognition is an increasingly popular security measure in scenarios with low computational power, such as phones and Raspberry Pi’s. There are many facial recognition techniques available. The aim is to compare three such techniques in both performance and time metrics. LÄS MER

  3. 3. Predicting house prices with machine learning methods

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

    Författare :Isak Engström; Alan Ihre; [2019]
    Nyckelord :;

    Sammanfattning : In this study, the machine learning algorithms k-Nearest-Neighbours regression (k-NN) and Random Forest (RF) regression were used to predict house prices from a set of features in the Ames housing data set. The algorithms were selected from an assessment of previous research and the intent was to compare their relative performance at this task. LÄS MER

  4. 4. Region Proposal Based Object Detectors Integrated With an Extended Kalman Filter for a Robust Detect-Tracking Algorithm

    Master-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Författare :Gabriel Khajo; [2019]
    Nyckelord :Object Detection; Extended Kalman Filter; Tracking;

    Sammanfattning : In this thesis we present a detect-tracking algorithm (see figure 3.1) that combines the detection robustness of static region proposal based object detectors, like the faster region convolutional neural network (R-CNN) and the region-based fully convolutional networks (R-FCN) model, with the tracking prediction strength of extended Kalman filters, by using, what we have called, a translating and non-rigid user input region of interest (RoI-) mapping. LÄS MER

  5. 5. Graph Visualization of Legal Business Structures

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

    Författare :Lovisa Josefsson; Frans Apentis Emriksson; [2019]
    Nyckelord :Graph Visualization; Network Visualization; Legal Business Structure; Corporate Structure; Legal Structure; Contract Structure; Agreement Structure; Grafvisualisering; Näterksvisualisering; Legal Affärsstruktur; Företagsstruktur; Legal Struktur; Kontraktsstruktur;

    Sammanfattning : Visualization of complex data is a challenging topic. Data are often stored in spreadsheets making it difficult to get an overview of otherwise inaccessible information. Visualization of data is necessary for getting an understanding of complex structures. LÄS MER