Sökning: "Siamese architecture"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden Siamese architecture.

  1. 1. Privacy Preserving Biometric Multi-factor Authentication

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

    Författare :Emil Gedenryd; [2023]
    Nyckelord :Fully Homomorphic Encryption; Machine Learning; Biometric Authentication; Technology and Engineering;

    Sammanfattning : This thesis investigates the viability of using Fully Homomorphic Encryption and Machine Learning to construct a privacy-preserving biometric multi-factor authentication system. The system is based on the architecture described as ”Model K - Store distributed, compare distributed” in ISO/IEC 24745:2022 and uses the Torus Fully Homomorphic Encryption scheme proposed by Chillotti et al. LÄS MER

  3. 2. Matching Sticky Notes Using Latent Representations

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

    Författare :Javier García San Vicent; [2022]
    Nyckelord :Pattern matching; Image matching; Image recognition; Representation learning; Unsupervised learning; Semisupervised learning; Siamese architecture; Deep learning; Transfer learning; Mönstermatchning; Bildmatchning; Bildigenkänning; Representationsinlärning; Oövervakat lärande; Halvövervakat lärande; Siamesisk arkitektur; Djup lärning; Överfört lärande;

    Sammanfattning : his project addresses the issue of accurately identifying repeated images of sticky notes. Due to environmental conditions and the 3D location of the camera, different pictures taken of sticky notes may look distinct enough to be hard to determine if they belong to the same note. LÄS MER

  4. 3. Multi-modal Neural Representations for Semantic Code Search

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

    Författare :Jian Gu; [2020]
    Nyckelord :multi-modal learning; pseudo-siamese architecture; neural bagof- words model; tree representation; Simplified Semantic Tree; semantic code search; multimodal inlärning; pseudo-siamesisk arkitektur; neural väskamed- ord-modell; trädrepresentation; förenklat semantiskt träd; semantisk kodsökning;

    Sammanfattning : In recent decades, various software systems have gradually become the basis of our society. Programmers search existing code snippets from time to time in their daily life. LÄS MER

  5. 4. Anomaly Detection Across Multiple Languages

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

    Författare :Mastafa Foufa; [2020]
    Nyckelord :;

    Sammanfattning : We present Multilingual Anomaly Detector (MAD), a toolkit to detect anomalies insensitive to the use of different languages. Unsupervised anomaly detection on high-dimensional textual data is of great relevance in both machine learning research and industrial applications. LÄS MER

  7. 5. Generic Object Tracking with NVIDIA Jetson Nano Using Siamese Convolutional Neural Networks

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Alexander Selberg; [2020]
    Nyckelord :Convolutional Neural Networks; Deep Learning; Object Tracking; Machine Learning; Technology and Engineering;

    Sammanfattning : In this thesis, a generic object tracker was constructed that was applied to both a commonly used tracking dataset using a regular computer as well as a robot powered by a small NVIDIA computer. The architecture of the tracker consisted of two parallel convolutional neural networks convolving to a single output. LÄS MER