Search for dissertations about: "variational regularization"
Showing result 1 - 5 of 6 swedish dissertations containing the words variational regularization.
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1. Ghosts and machines : regularized variational methods for interactive simulations of multibodies with dry frictional contacts
Abstract : A time-discrete formulation of the variational principle of mechanics is used to provide a consistent theoretical framework for the construction and analysis of low order integration methods. These are applied to mechanical systems subject to mixed constraints and dry frictional contacts and impacts---machines. READ MORE
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2. Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning
Abstract : This thesis, which mainly consists of six appended papers, primarily considers a number of inverse problems in imaging and system identification.In particular, the first two papers generalize results for the rational covariance extension problem from one to higher dimensions. READ MORE
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3. Variational Tensor-Based Models for Image Diffusion in Non-Linear Domains
Abstract : This dissertation addresses the problem of adaptive image filtering.Although the topic has a long history in the image processing community, researchers continuously present novel methods to obtain ever better image restoration results. READ MORE
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4. Sequential Data Learning, Scalable Models and Adversarial Regularization
Abstract : Time Series Prediction (TSP) has been used in mobile network traffic data analysis to produce predictive results for network planning and resource allocation. In the first part of this thesis, we propose a novel method of predicting mobile network traffic using neural networks based on conditional probability modeling between adjacent data windows in the time series sequence. READ MORE
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5. Statistical Segmentation and Registration of Medical Ultrasound Data
Abstract : The interpretation of ultrasonic imagery is typically not straightforward and of quite subjective nature and therefore strongly dependent on the expertise of its users. Thus the development of algorithms which aid in the interpretation of ultrasonic data is a highly relevant topic. READ MORE