Search for dissertations about: "computer vision machine learning"
Showing result 1 - 5 of 87 swedish dissertations containing the words computer vision machine learning.
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1. Deep Learning Methods for Classification of Gliomas and Their Molecular Subtypes, From Central Learning to Federated Learning
Abstract : The most common type of brain cancer in adults are gliomas. Under the updated 2016 World Health Organization (WHO) tumor classification in central nervous system (CNS), identification of molecular subtypes of gliomas is important. READ MORE
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2. Efficient Document Image Binarization using Heterogeneous Computing and Interactive Machine Learning
Abstract : Large collections of historical document images have been collected by companies and government institutions for decades. More recently, these collections have been made available to a larger public via the Internet. However, to make accessing them truly useful, the contained images need to be made readable and searchable. READ MORE
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3. Visual Attention in Active Vision Systems : Attending, Classifying and Manipulating Objects
Abstract : This thesis has presented a computational model for the combination of bottom-up and top-down attentional mechanisms. Furthermore, the use for this model has been demonstrated in a variety of applications of machine and robotic vision. READ MORE
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4. Computer Vision for Automated Traffic Safety Assessment : A Machine Learning Approach
Abstract : Traffic safety is a complex and important research area with the potential to save many lives in the future. Two key problems are considered, namely the gathering of reliable and detailed road user statistics which can be used to estimate the safety of a traffic environment and taking advantage of surveillance infrastructure to guide and assist vehicles in real time, primarily autonomous ones. READ MORE
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5. Online Learning for Energy Efficient Navigation in Stochastic Transport Networks
Abstract : Reducing the dependence on fossil fuels in the transport sector is crucial to have a realistic chance of halting climate change. The automotive industry is, therefore, transitioning towards an electrified future at an unprecedented pace. READ MORE