Essays about: "semantic network analysis"

Showing result 6 - 10 of 33 essays containing the words semantic network analysis.

1. 6. Scenario Generation For Vehicles Using Deep Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jay Patel; [2022]
   Keywords : Scenario generation; Mixture Density Network; Gaussian Mixture Model; Autonomous driving; Semantic Graph Network; Scenariogenerering; Mixture Density Network; Gaussian Mixture Model; Autonom körning; Semantic Graph Network;

   Abstract : In autonomous driving, scenario generation can play a critical role when it comes to the verification of the autonomous driving software. Since uncertainty is a major component in driving, there cannot be just one right answer to a prediction for the trajectory or the behaviour, and it becomes important to account for and model that uncertainty. READ MORE

3. 7. The World in 3D : Geospatial Segmentation and Reconstruction

   University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

   Author : David Robín Karlsson; [2022]
   Keywords : deep learning; ai; machine learning; geospatial; gis; heightmap; semantic segmentation; satellite imagery; aerial imagery;

   Abstract : Deep learning has proven a powerful tool for image analysis during the past two decades. With the rise of high resolution overhead imagery, an opportunity for automatic geospatial 3D-recreation has presented itself. This master thesis researches the possibil- ity of 3D-recreation through deep learning based image analysis of overhead imagery. READ MORE

4. 8. Self-Supervised Learning: Land Classification of Satellite Imagery

   University essay from Lunds universitet/Matematisk statistik

   Author : Robert Skoglund; [2022]
   Keywords : Self-supervised learning; remote sensing; land classification; SimCLR; Mathematics and Statistics;

   Abstract : The rise of self-supervised learning has granted a deeper level of generalized machine learning capable of learning semantic representations without any use of labelling. With 700 satellites orbiting Earth and generating terabytes of unlabelled data daily, satellite imagery serves as a particularly enticing data set for self-supervised learning, containing rich information with many applicable domains,such as agriculture. READ MORE

5. 9. Transformer Based Object Detection and Semantic Segmentation for Autonomous Driving

   University essay from Linköpings universitet/Datorseende

   Author : Mikaela Hardebro; Elin Jirskog; [2022]
   Keywords : Computer Vision; Autonomous Driving; Machine Learning; Transformers; Swin; CNN; Object Detection; Semantic Segmentation; Grad-CAM; PCA; Mean Attention Distance;

   Abstract : The development of autonomous driving systems has been one of the most popular research areas in the 21st century. One key component of these kinds of systems is the ability to perceive and comprehend the physical world. Two techniques that address this are object detection and semantic segmentation. READ MORE

6. 10. Statistics and Machine Learning for Classification of Emotional and Semantic Content of EEG

   University essay from Lunds universitet/Matematisk statistik

   Author : Oskar Keding; David Ohlin; [2021]
   Keywords : Machine Learning; machine; learning; neural; network; statistics; EEG; emotion; semantic; emotional; signal; processing; reassignment; time-frequency; spectrogram; brain processing; bci; CNN; convolutional; Mathematics and Statistics;

   Abstract : Interpreting EEG measurements is of great relevance, both for developing underlying neuroscientific theory and improving existing applications. In this study, two networks with different approaches to time-frequency analysis and feature selection are compared on simulated and real data for semantic and emotional perception. READ MORE