286 zoekresultaten voor “reconstruction algorithms” in de Publieke website
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Efficient and Automatic Tomographic Reconstruction Algorithms
In this thesis we present several methods to automate tomographic reconstruction algorithms and several novel tomographic reconstruction algorithms with the focus on being easily applicable and efficient to use.
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Network flow algorithms for discrete tomography
Promotor: R. Tijdeman, Co-promotor: H.J.J. te Riele
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Reconstruction Methods for Combined HAADF-STEM and EDS Tomography
The research in this thesis is focused on tomographic reconstruction based on two imaging modalities in electron microscopy.
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Real-time tomographic reconstruction
With tomography it is possible to reconstruct the interior of an object without destroying.
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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Filter-based reconstruction methods for tomography
Promotor: K.J. Batenburg
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Algorithms for finite rings
Promotores: H.W. Lenstra, K. Belabas (University of Bordeaux)
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Accountable Artificial Intelligence: Holding Algorithms to Account
Artificial intelligence algorithms govern in subtle, yet fundamental ways, the way we live and are transforming our societies. The promise of efficient, low‐cost or ‘neutral’ solutions harnessing the potential of big data has led public bodies to adopt algorithmic systems in the provision of public…
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Error bounds for discrete tomography
Promotores: K.J. Batenburg, B. Koren
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Optimization of quantum algorithms for near-term quantum computers
This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.
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Algorithms for the description of molecular sequences
Promotor: J.N. Kok, P.E. Slagboom Co-promotor: J.F.J. Laros
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On continued fraction algorithms
Promotor: Robert Tijdeman, Co-promotor: Cornelis Kraaikamp
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Algorithm for Structural Variant Detection
Structural variants (SVs) are the hidden architecture of the human genome, and are critical for us to understand diseases, evolution, and so on.
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Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
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Efficient and Automatic Tomographic Reconstruction Algorithms
Promotie
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Algorithms for analyzing and mining real-world graphs
Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters
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Sparsity-Based Algorithms for Inverse Problems
Inverse problems are problems where we want to estimate the values of certain parameters of a system given observations of the system. Such problems occur in several areas of science and engineering. Inverse problems are often ill-posed, which means that the observations of the system do not uniquely…
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Novel detectors and algorithms for electron nano-crystallography
Promotor: Prof.dr. J.P. Abrahams, Prof.dr. M. van Heel
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PhD Candidate, In-line, Real-Time Reconstruction of X-ray Image Data
Wiskunde en Natuurwetenschappen, Leiden Institute of Advanced Computer Science (LIACS)
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Algebraic filters for filtered backprojection
Promotor: K.J. Batenburg, Co-promotor: A.W. van der Vaart, B. de Smit
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Postdoc and PHD candidate, Hybrid Quantum Algorithms
Wiskunde en Natuurwetenschappen, Leiden Institute of Advanced Computer Science (LIACS)
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Postdoc in quantum algorithms and/or post-quantum cryptography
Wiskunde en Natuurwetenschappen, Mathematisch Instituut (MI)
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Algorithms help improve building design
Modern optimization algorithms offer solutions for architectural decisions like spatial, structural and energy efficiency. A young computer scientist from Leiden University co-authored a paper that won the Best Paper Award at a leading conference in Krakow during the summer.
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Multi-objective mixed-integer evolutionary algorithms for building spatial design
Multi-objective evolutionary computation aims to find high quality (Pareto optimal) solutions that represent the trade-off between multiple objectives.
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Stochastic and Deterministic Algorithms for Continuous Black-Box Optimization
Continuous optimization is never easy: the exact solution is always a luxury demand and the theory of it is not always analytical and elegant.
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Multi-objective Evolutionary Algorithms for Optimal Scheduling
Multi-criteria optimalisatie is een effectieve techniek voor het vinden van optimale oplossingen die een afweging bieden tussen verschillende, tegenstrijdige criteria. Het heeft zijn toepassing gevonden in de wereld om ons heen omdat bij het oplossen van praktische, re¨ele wereld problemen men gewoonlijk…
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Chasing cosmic tau neutrinos in the abyss
In this work the reconstruction of a tau neutrino signal in the KM3NeT detector is discussed.
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track faculty position in theoretical physics focused on quantum algorithms
Wiskunde en Natuurwetenschappen, Leiden Institute of Advanced Computer Science (LIACS)
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Leidse studenten winnen Benelux Algorithm Programming Contest 2014
Team Syntax Error, met Bas Nieuwenhuizen, Mathijs van de Nes, Niels ten Dijke, alle drie masterstudenten Computer Science, heeft de Benelux Algorithm Programming Contest gewonnen en heeft zich daarmee geplaatst voor de Northwestern European Regional Contest in Zweden, op 29 en 30 november.
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Benelux Algorithm Programming Contest 2010
De Benelux Algorithm Programming Contest 2010 (een van de voorronden van de ACM International Collegiate Programming Contest) vindt a.s. zaterdag 23 oktober plaats in studentencentrum Plexus te Leiden. Deze programmeerwedstrijd wordt georganiseerd door de Leidsche Flesch, de studievereniging van Informatica/Wiskunde/Natuurkunde/Sterrenkunde…
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Random walks on Arakelov class groups
The main topic of this PhD thesis is the Arakelov ray class group of a number field, an algebraic object that contains both the ideal class group structure and the unit group structure.
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Leids team wint Benelux Algorithm Programming Contest 2013
Het Leidse team 'Geen Syntax', bestaande uit Bas Nieuwenhuizen, Mathijs van de Nes en Raymond van Bommel, heeft in Utrecht de Benelux Algorithm Programming Contest (BAPC) 2013 gewonnen.
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DNA expressions - A formal notation for DNA
Promotores: J.N. Kok, H.J. Hoogeboom
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Shape Analysis for Phenotype Characterisation from High-throughput Imaging
We have studied shape with a particular focus on the zebrafish model system. The shape is an essential appearance of the phenotype of a biological specimen and it can be used to read out a current state or response or to study gene expression.
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Discrete tomography with two directions
Promotores: R. Tijdeman, K.J. Batenburg
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Team ‘Geen Syntax’ van Universiteit Leiden wint Benelux Algorithm Programming Contest 2013
Het Leidse team 'Geen Syntax', bestaande uit Bas Nieuwenhuizen, Mathijs van de Nes en Raymond van Bommel, heeft in Utrecht de Benelux Algorithm Programming Contest (BAPC) 2013 gewonnen. Deze Leidse studenten wiskunde en informatica losten de 10 opgaven een uur sneller op dan alle andere teams.
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Symposium: The digital reconstruction of the crucifixion of the Lindau master
On 8 July, the symposium 'The digital reconstruction of the crucifixion of the Lindau master (ca. 1425)' will take place at the auditorium of Museum Catharijnecovent, from where it will also be broadcasted online.
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Benchmarking Discrete Optimization Heuristics
This thesis involves three topics: benchmarking discrete optimization algorithms, empirical analyses of evolutionary computation, and automatic algorithm configuration.
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Discrete tomography for integer-valued functions
Promotor: S.J. Edixhoven, Co-promotor: K.J. Batenburg
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Deterministic equation solving over finite fields
Promotor: H.W. Lenstra
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Arend-Jan QuistWiskunde en Natuurwetenschappen
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HEPGAME
HEPGAME is a research project that combines the world’s fastest computer algebra system for High Energy Physics equations, FORM, with insights from artificial intelligence. The name combines High Energy Physics and Games.
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Methods to simulate fermions on quantum computers with hardware limitations
This thesis is a collection of theoretical works aiming at adjusting quantum algorithms to the hardware of quantum computers.
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Massively collaborative machine learning
Promotor: J. N. Kok, Co-promotor: A. J. Knobbe
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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Insights from modeling metabolism and amoeboid cell motility in the immune system
This thesis focuses on two processes involved in fighting infections: metabolism and immune cell motility and navigation.
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Nurbolat KenbayevWiskunde en Natuurwetenschappen
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On the computation of norm residue symbols
An algorithm is discussed to compute the exponential representation of principal units in a finite extension field F of the p-adic rationals.
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Special edition Information Polity
In this special edition of Information Polity there is a focus on the transparency challenges of using algorithms in government in decision-making procedures at the macro-, meso-, and micro-levels.
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Aspects of Record Linkage
Promotores: Prof.dr. J.N. Kok, Prof.dr. C.A. Mandemakers, Co-Promotor: G. Bloothooft