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Visar resultat 1 - 5 av 10 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Compare Accuracy of Alternative Methods for Sound Classification on Environmental Sounds of Similar Characteristics

    Master-uppsats, Stockholms universitet/Statistiska institutionen

    Författare :Olov Rudberg; [2022]
    Nyckelord :Machine Learning; Algorithms; Neural Networks; Computer Vision; Image Recognition; Environmental Sound Classification; Data Augmentation;

    Sammanfattning : Artificial neural networks have in the last decade been a vital tool in image recognition, signal processing and speech recognition. Because of these networks' ability to be highly flexible, they suit a vast amount of different data. This flexible attribute is very sought for within the field of environmental sound classification. LÄS MER

  3. 2. Incorporating Orthogonal Moments in CNNs

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :André Le Blanc; [2021]
    Nyckelord :;

    Sammanfattning : Convolutional neural networks (CNNs) can accurately classify objects in images using convolutional layers that extract features from images. Features from images can also be extracted using image moments, such as Gabor and Zernike moments. LÄS MER

  4. 3. On the statistics and practical application of the reassignment method for Gabor spectrograms

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Erik. M Månsson; [2019]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : The reassignment method is a technique for improving the concentration of signals in spectrograms and other time-frequency representations (TFR). It achieves this by displacing the points in a TFR according to the reassignment vector for every point. LÄS MER

  5. 4. Comparative study of table layout analysis : Layout analysis solutions study for Swedish historical hand-written document

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

    Författare :Xusheng Liang; [2019]
    Nyckelord :layout analysis; pattern recognition; document digitalization; table layout extraction; transfer learning; machine learning; image processing; Hessian filter; Gabor filter;

    Sammanfattning : Background. Nowadays, information retrieval system become more and more popular, it helps people retrieve information more efficiently and accelerates daily task. LÄS MER

  7. 5. Terrain Classification to find Drivable Surfaces using Deep Neural Networks : Semantic segmentation for unstructured roads combined with the use of Gabor filters to determine drivable regions trained on a small dataset

    Master-uppsats, KTH/Robotik, perception och lärande, RPL

    Författare :Agneev Guin; [2018]
    Nyckelord :Semantic segmentation; Deep learning; Gabor filters; Drivable surfaces;

    Sammanfattning : Autonomous vehicles face various challenges under difficult terrain conditions such as marginally rural or back-country roads, due to the lack of lane information, road signs or traffic signals. In this thesis, we investigate a novel approach of using Deep Neural Networks (DNNs) to classify off-road surfaces into the types of terrains with the aim of supporting autonomous navigation in unstructured environments. LÄS MER