Essays about: "Dynamisk time warping DTW"

Found 3 essays containing the words Dynamisk time warping DTW.

  1. 1. Traffic Prediction From Temporal Graphs Using Representation Learning

    University essay from KTH/Matematisk statistik

    Author : Andreas Movin; [2021]
    Keywords : Dynamic time warping DTW ; embedding; graph convolutional networks GCN ; graph neural networks GNN ; persistent homology; spectral graph theory; temporal graphs; topological data analysis TDA ; Dynamisk time warping DTW ; inbäddning; convolutional grafnätverk GCN ; neurala grafnätverk GNN ; persistent homologi; spektral graf teori; dynamisk graf; topologisk dataanalys TDA ;

    Abstract : With the arrival of 5G networks, telecommunication systems are becoming more intelligent, integrated, and broadly used. This thesis focuses on predicting the upcoming traffic to efficiently promote resource allocation, guarantee stability and reliability of the network. READ MORE

  3. 2. Personalized Dynamic Hand Gesture Recognition

    University essay from KTH/Medieteknik och interaktionsdesign, MID

    Author : Lei Wang; [2018]
    Keywords : Dynamic Gesture Recognition; Human Computer Interaction; Machine Learning;

    Abstract : Human gestures, with the spatial-temporal variability, are difficult to be recognized by a generic model or classifier that are applicable for everyone. To address the problem, in this thesis, personalized dynamic gesture recognition approaches are proposed. READ MORE

  4. 3. Adding temporal plasticity to a self-organizing incremental neural network using temporal activity diffusion

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Emil Lundberg; [2015]
    Keywords : ANN; artificial neural network; SOINN; SOTPAR; SOTPAR2; prediction; spatio-temporal pattern detection; temporal activity diffusion; pattern recognition; unsupervised learning; vector quantization; ANN; artificiellt neuralt nätverk; artificiella neurala nätverk; SOINN; SOTPAR; SOTPAR2; förutsägelse; spatio-temporal mönsterdetekion; temporal aktivitetsdiffusion; mönsterigenkänning; oövervakad inlärning; vektorkvantisering;

    Abstract : Vector Quantization (VQ) is a classic optimization problem and a simple approach to pattern recognition. Applications include lossy data compression, clustering and speech and speaker recognition. READ MORE