Blar i NTNU Open på forfatter "Grasmair, Markus"
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A Hybrid Metaheuristic for a Multi-Objective Mixed Capaciated General Routing Problem
Lyckander, Ingvild (Master thesis, 2014)In this thesis, we have studied a bi-objective variant of the Mixed Capacitated General Routing Problem (MCGRP). The MCGRP is a generalization of other well known routing problems. It is defined on a mixed, weighted graph, ... -
A Phase Field Approach for a Modified Mumford-Shah Functional Based on Fractional Derivatives
Plassen, Monica Kappelslåen (Master thesis, 2016)Recovering the true image, or true signal, from a corrupted one is by no means a trivial task, and we will in this paper study some approaches to finding good approximations to this unknown true image. The main focus will ... -
A Semi-Discretized Method for Optimal Reparametrization of Curves
Wøien, Esten Nicolai (Master thesis, 2019)I denne oppgaven utvikler vi en ny metode for optimal omparametrisering av kurver ved bruk av rothastighetstransformasjonen (the square root velocity transform). Metoden bruker dynamisk programmering, men med en bedre ... -
An algorithmic Framework for Multiresolution based non-parametric Regression
Morken, Anette Fossum (Master thesis, 2017)We study a method to solve non-parametric regression problems in one and two dimensions with statistical multiresolution estimation. We present the non-parametric regression problem, then introduce the multiresolution norm ... -
An Optical Flow based Method for the Segmentation of Image Sequences
Velsvik, Espen Johansen (Master thesis, 2017)The segmentation of motion in an image sequence is an important task in many computer vision applications. This thesis presents the theory and numerical algorithm for the detection of object boundaries of moving objects ... -
Anisotropic Total Variation Based Image Restoration Using Graph Cuts
Rustad, Bjørn (Master thesis, 2015)In this thesis we consider a particular kind of edge-enhancing image restoration method based on total variation. We want to address the fact that the total variation method in some cases leads to contrast loss in thin ... -
Cardiac MRI-Image Segmentation by Parametric Curve Learning
Huglen, Vetle Birkeland (Master thesis, 2020)Datadrevne metoder ser stadig mer bruk innen medisin, og gir oss bedre forståelse av sykdommer, lar oss simulere effekten av ulike behandlingsmetoder og assisterer kirurger i operasjoner. Dataen disse metodene baserer seg ... -
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective
Gogineni, Vinay Chakravarthi; Langberg, Geir Severin Rakh Elvatun; Naumova, Valeriya; Nygård, Jan; Nygård, Marie; Grasmair, Markus; Werner, Stefan (Chapter, 2021)Routine cervical cancer screening at regular periodic intervals leads to either over-screening or too infrequent screening of patients. For this purpose, personalized screening intervals are desirable that account for ... -
Development of constraint handling techniques for well placement optimization in Petroleum Field Development - Problem formulation and implementation for FieldOpt software including well index calculation for deviated wells
Magnusson, Hilmar (Master thesis, 2016)Well placement optimization is an important part of Petroleum Field Development. However, in order to improve the optimization procedures, it can be important to incorporate considerations like knowledge about the geology ... -
Early Prediction of Cervical Cancer Using Matrix Factorization
Stapnes, Mikal (Master thesis, 2020)En av hundre norske kvinner kommer til å utvikle livmorhalskreft innen en alder av 75. Kreften er den tredje mest hyppige blant kvinner i alderen 25 til 49. De nordiske screeningprogramme for livmorhalskreft har en påvist ... -
Landmark-guided elastic shape analysis of human character motions
Bauer, Martin; Eslitzbichler, Markus; Grasmair, Markus (Journal article, 2017)Motions of virtual characters in movies or video games are typically generated by recording actors using motion capturing methods. Animations generated this way often need postprocessing, such as improving the periodicity ... -
Lasso-Path and Taut String Algorithm for One-Dimensional Total Variation Regularization
Hagen, Lene (Master thesis, 2017)In this thesis, we consider the minimization problem arising from a linear operator equation when applying Tikhonov regularization. In particular, we study the one-dimensional case with total variation penalization. We ... -
Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results
Langberg, Geir Severin Rakh Elvatun; Stapnes, Mikal Solberg; Nygård, Jan Franz; Nygård, Mari; Grasmair, Markus; Naumova, Valeriya (Peer reviewed; Journal article, 2022)Background Mass screening programs for cervical cancer prevention in the Nordic countries have strongly reduced cancer incidence and mortality at the population level. An alternative to the current mass screening is a ... -
Nonlocal and monotone techniques in dispersive equations and inverse problems
Hildrum, Fredrik (Doctoral theses at NTNU;2022:151, Doctoral thesis, 2022) -
On the Equivalence of Eulerian and Lagrangian Variables for the Two-Component Camassa–Holm System
Grunert, Katrin; Holden, Helge; Grasmair, Markus (Chapter, 2018)The Camassa–Holm equation and its two-component Camassa–Holm system generalization both experience wave breaking in finite time. To analyze this, and to obtain solutions past wave breaking, it is common to reformulate the ... -
Parameter selection for total variation regularization with applications in imaging
Ludvigsen, Martin (Master thesis, 2020)Regulariseringsmetoder er ofte brukt for å løse inverse problemer. Spesielt har total variasjon- regulering vist seg å være effektiv for støyfjerning av bilder. Regulariseringsmetoder kr- ever vanligvis valg av én eller ... -
Parameter selection methods for variational image restoration
Buset, Vegard Gjerde (Master thesis, 2021)Vi undersøker diskrepansprinsippet og ein L-hyperflate-metode som automatiserte parametervalmetodar i støyfjerningsproblem for bilete. Å velje optimale regulariseringsparametrar er alltid utfordrande, og utfordringa er ... -
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction
Gogineni, Vinay Chakravarthi; Langberg, Geir Severin Rakh Elvatun; Naumova, Valeriya; Nygård, Jan Franz; Mari, Nygård,; Grasmair, Markus; Werner, Stefan (Chapter, 2021)Cervical cancer screening programs have reduced the incidence of cervical cancer, but suffer from over- and too infrequent screening as women’s risk of developing cervical cancer differs. Personalized risk prediction models ... -
Resource Allocation in Radio Networks by Graph Coloring and Non-Smooth Optimization
Grønseth, Marino Bråthen (Master thesis, 2018)The number of devices connected to the internet is rapidly increasing and the demand for higher bandwidth is likely to increase in the future. In this thesis we will look at methods for channel allocation and signal strength ... -
Resource-Constrained Project Scheduling for the Mass Relocation Problem
Elvebakken, Camilla Idina Jensen (Master thesis, 2022)Anleggsmaskiner står for en femtedel av klimagassutslippene i bygg- og anleggsbransjen i Norge, og tilbringer opptil 40 % av arbeidsdagen på tomgang som følge av venting og dårlig planlegging. Bruk av prosjektplanlegging ...