Essays about: "ill-posed problem"
Showing result 1 - 5 of 16 essays containing the words ill-posed problem.
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1. Limited angle reconstruction for 2D CT based on machine learning
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : The aim of this report is to study how machine learning can be used to reconstruct 2 dimensional computed tomography images from limited angle data. This could be used in a variety of applications where either the space or timeavailable for the CT scan limits the acquired data.In this study, three different types of models are considered. READ MORE
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2. Virtual Staining of Blood Cells using Point Light Source Illumination and Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : Blood tests are an important part of modern medicine, and are essentially always stained using chemical colorization methods before analysis by computational or manual methods. The staining process allows different parts of blood cells to be discerned that would be unnoticeable in unstained blood. READ MORE
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3. Regularizing An Ill-Posed Problem with Tikhonov’s Regularization
University essay from Linköpings universitet/Analys och didaktik; Linköpings universitet/Tekniska fakultetenAbstract : This thesis presents how Tikhonov’s regularization can be used to solve an inverse problem of Helmholtz equation inside of a rectangle. The rectangle will be met with both Neumann and Dirichlet boundary conditions. A linear operator containing a Fourier series will be derived from the Helmholtz equation. READ MORE
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4. On Robust Forecast Combinations With Applications to Automated Forecasting
University essay from Uppsala universitet/Statistiska institutionenAbstract : Combining forecasts have been proven as one of the most successful methods to improve predictive performance. However, while there often is a focus on theoretically optimal methods, this is an ill-posed issue in practice where the problem of robustness is of more empirical relevance. READ MORE
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5. Single image scene-depth estimation based on self-supervised deep learning : For perception in autonomous heavy duty vehicles
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : Depth information is a vital component for perception of the 3D structure of vehicle's surroundings in the autonomous scenario. Ubiquity and relatively low cost of camera equipment make image-based depth estimation very attractive compared to employment of the specialised sensors. READ MORE