Sökning: "Graph Neural Network"

Visar resultat 1 - 5 av 25 avhandlingar innehållade orden Graph Neural Network.

1. 1. Random geometric graphs and their applications in neuronal modelling

   Författare :Fioralba Ajazi; Matematisk statistik; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; random graph; Neural Network; Probability; Inhomogeneous random graph; random distance graph; random grown networks;

   Sammanfattning : Random graph theory is an important tool to study different problems arising from real world.In this thesis we study how to model connections between neurons (nodes) and synaptic connections (edges) in the brain using inhomogeneous random distance graph models. LÄS MER

3. 2. Applications in Monocular Computer Vision using Geometry and Learning : Map Merging, 3D Reconstruction and Detection of Geometric Primitives

   Författare :David Gillsjö; Matematik LTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Scene Completion; Deep Learning; Bayesian Neural Network; Room Layout Estimation; Line Segment Detection; Polygon Detection; Graph Neural Network; Map Merging; Structure from Motion; Minimal Solvers; Wireframe Estimation;

   Sammanfattning : As the dream of autonomous vehicles moving around in our world comes closer, the problem of robust localization and mapping is essential to solve. In this inherently structured and geometric problem we also want the agents to learn from experience in a data driven fashion. LÄS MER

4. 3. Enabling Enterprise Live Video Streaming with Reinforcement Learning and Graph Neural Networks

   Författare :Stefanos Antaris; Sarunas Girdzijauskas; Dimitrios Katsaros; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Graph Neural Networks; Reinforcement Learning; Meta-Learning; Knowledge Distillation; Enterprise Liveo Video Streaming;

   Sammanfattning : Over the last decade, video has vastly become the most popular way the world consumes content. Due to the increased popularity, video has been a strategic tool for enterprises. LÄS MER

5. 4. Mathematical Foundations of Equivariant Neural Networks

   Författare :Jimmy Aronsson; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; symmetry; geometric deep learning; gauge theory; induced representations; fiber bundles; convolutional neural networks; equivariance;

   Sammanfattning : Deep learning has revolutionized industry and academic research. Over the past decade, neural networks have been used to solve a multitude of previously unsolved problems and to significantly improve the state of the art on other tasks. However, training a neural network typically requires large amounts of data and computational resources. LÄS MER

7. 5. Mobility Knowledge Graph and its Application in Public Transport

   Författare :Qi Zhang; Zhenliang Ma; Erik Jenelius; Carlos Lima Azevedo; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Knowledge graph; Smart card data; Public transport; User-station attention; Relation extraction; Transportvetenskap; Transport Science; Transportsystem; Transport Systems;

   Sammanfattning : Efficient public transport planning, operations, and control rely on a deep understanding of human mobility in urban areas. The availability of extensive and diverse mobility data sources, such as smart card data and GPS data, provides opportunities to quantitatively study individual behavior and collective mobility patterns. LÄS MER