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Energy Comes Together in Denmark: The Key to a Future Fossil-Free Danish Power System
The transition of the Danish energy system to a system based only on renewable energy in 2050 carries many challenges. For Denmark to become independent of fossil energy sources, wind power andExpand
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Statistical 2D and 3D Shape Analysis Using Non-euclidean Metrics
TLDR
We extend principal components analysis to take into account the noise variance at different landmarks and at different shapes. Expand
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Shape Modelling Using Markov Random Field Restoration of Point Correspondences
TLDR
A method for building statistical point distribution models based on a training set with an initial sparse annotation of corresponding landmarks of varying confidence. Expand
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Statistical shape analysis using non-Euclidean metrics
TLDR
The contribution of this paper is the adaptation of data driven methods for non-Euclidean metric decomposition of tangent space shape coordinates. Expand
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Growth modeling of human mandibles using non-Euclidean metrics
TLDR
We use a non-Euclidean metric to model the temporal shape and size of the human mandible for analysis, simulation, and prediction purposes. Expand
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A Noise Robust Statistical Texture Model
TLDR
This paper presents a novel approach to the problem of obtaining a low dimensional representation of texture (pixel intensity) variation present in a training set after alignment using Generalised Procrustes analysis. Expand
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Control of Electricity Loads in Future Electric Energy Systems
Traditionally, electricity power production has been adjusted to balance the time-varying electricity load. However, a transition to a system based on an increasing, fluctuating, and nondispatchableExpand
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Markov random field restoration of point correspondences for active shape modeling
TLDR
In this paper it is described how to build a statistical shape model using a training set with a sparse of landmarks. Expand
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Active Shape Analysis of Mandibular Growth
TLDR
This work contains a clinical validation using biological landmarks of a Geometry Constrained Diffusion registration of mandibular surfaces. Expand
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