Sökning: "Feature extraction"

Visar resultat 1 - 5 av 244 uppsatser innehållade orden Feature extraction.

  1. 1. Automating Feature-Extraction for Camera Calibration Through Machine Learning and Computer Vision

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Elias Åkeborg; [2021]
    Nyckelord :Machine learning; Computer vision; Feature-extraction; Classification; Camera Calibration; DeepLab; U-Net; Ridge Detection; Sub-pixel optimization; Artificial Intelligence; Technology and Engineering;

    Sammanfattning : Machine learning as a field has expanded in an explosive manner, with more companies interested in using the technology. One of these companies, Spiideo, uses Machine learning to automatically stream and record sports, highlighting key events - all automatically without a cameraman. LÄS MER

  2. 2. Training Autoencoders for feature extraction of EEG signals for motor imagery

    Kandidat-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Casper Wahl; [2021]
    Nyckelord :;

    Sammanfattning : Electroencephalography (EEG) is a common technique used to read brain activity from an individual, and can be used for a wide range of applications, one example is during the rehab process of stroke victims. Loss of motor function is a common side effect of strokes, and the EEG signals can show if sufficient activation of the part of the brain related to the motor function that the patient is training has been achieved. LÄS MER

  3. 3. Optimering av en chattbot för det svenska språket

    M1-uppsats, KTH/Hälsoinformatik och logistik; KTH/Hälsoinformatik och logistik

    Författare :Mohammed Mutaliev; Ibrahim Almimar; [2021]
    Nyckelord :Chatbots; machine learning; natural language processing; tokenization; feature extraction; classification; word embeddings; transformers; Chattbottar; maskininlärning; naturlig språkbearbetning; tokenisering; känneteckensextrahering; klassificering; ordinbäddningar; transformatorer;

    Sammanfattning : Chattbotutvecklare på Softronic använder i dagsläget Rasa-ramverket och dess standardkomponenter för bearbetning av användarinmatning. Det här är problematiskt då standardkomponenterna inte är optimerade för det svenska språket. LÄS MER

  4. 4. Genre-based Video Clustering using Deep Learning : By Extraction feature using Object Detection and Action Recognition

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Abhinay Vellala; [2021]
    Nyckelord :Bag-of-features; Object detection; Action recognition; Multinomial mixture model;

    Sammanfattning : Social media has become an integral part of the Internet. There have been users across the world sharing content like images, texts, videos, and so on. There is a huge amount of data being generated and it has become a challenge to the social media platforms to group the content for further usage like recommending a video. LÄS MER

  5. 5. High density EMG based estimation of lower limb muscle characteristics using feature extraction

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Balázs Szabó; [2021]
    Nyckelord :HD-EMG; feature extraction; lower limb; muscle characteristics;

    Sammanfattning : Electromyography (EMG) is a common tool in electrical muscle activity measurement and can be used in multiple areas of clinical and biomedical applications, mainly in identifying neuromuscular diseases, analyzing movement or in human machine interfaces. Traditionally a pair of electrodes were used to measure the signals, but in recent years the use of high density surface EMG (HD-sEMG) gained more popularity as it can sample myoelectric activities from multiple electrodes in an array on a single muscle and provide more information. LÄS MER