Essays about: "graph labelling"
Showing result 1 - 5 of 6 essays containing the words graph labelling.
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1. Distance Consistent Labellings and the Local List Number
University essay from Linköpings universitet/Algebra, geometri och diskret matematik; Linköpings universitet/Tekniska fakultetenAbstract : We study the local list number of graphs introduced by Lennerstad and Eriksson. A labelling of a graph on n vertices is a bijection from vertex set to the set {1,…, n}. Given such a labelling c a vertex u is distance consistent if for all vertices v and w |c(u)-c(v)|=|c(u)-c(w)|+1 implies d(u,w)≤ d(u,v). READ MORE
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2. Labelling Customer Actions in an Autonomous Store Using Human Action Recognition
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Automation is fundamentally changing many industries and retail is no exception. Moonshopis a South African venture trying to solve the problem of autonomous grocery storesusing cameras and computer vision. This project is the continuation of a hackathon heldto explore different methods for Human Action Recognition in Moonshop’s stores. READ MORE
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3. Labelling Motion Capture Markers Using Dynamic Graph Convolutional Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis concerns labelling unlabelled motion capture (mocap) data using a Dynamic Graph Convolutional Neural Network (DGCNN) [46]. The most common type of motion-capture system, i.e. passive motion-capture, records the 3D position of multiple reflective markers using multiple infrared cameras with overlapping fields of view. READ MORE
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4. Investigating Content-based Fake News Detection using Knowledge Graphs
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : In recent years, fake news has become a pervasive reality of global news consumption. While research on fake news detection is ongoing, smaller languages such as Swedish are often left exposed by an under-representation in research. READ MORE
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5. Automatic Brain Segmentation into Substructures Using Quantitative MRI
University essay from Linköpings universitet/DatorseendeAbstract : Segmentation of the brain into sub-volumes has many clinical applications. Manyneurological diseases are connected with brain atrophy (tissue loss). By dividingthe brain into smaller compartments, volume comparison between the compartmentscan be made, as well as monitoring local volume changes over time. READ MORE