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As the introductory chapter sets out, this volume critically interrogates the EU as a global actor and its normative power in global politics as part of the 2013 European Research Day of the Centre for European Research at Gothenburg University. This chapter will conclude this interrogation by providing a Copenhagen reflection on the EU as a global actor within the context of the Normative Power A
In this paper, we extend the generalized SPICE estimator to the multichannel case, illustrating the resulting performance gain for direction of arrival estimation. The resulting estimator is found to offer improved estimation performance and robustness to the presence of correlated sources.
We compare classic scalar temporal difference learning with three new distributional algorithms for playing the game of 5-in-a-row using deep neural networks: distributional temporal difference learning with constant learning rate, and two distributional temporal difference algorithms with adaptive learning rate. All these algorithms are applicable to any two-player deterministic zero sum game and
Det är statens suveräna rätt att reglera utlänningars närvaro inom dess territorium. Denna rätt är däremot inte utan begränsningar. Artikel 1 i protokoll nr. 7 till Europeiska konventionen om skydd för de mänskliga rättigheterna säkerställer rättssäkerhetsgarantier i samband med utvisningen av utlänningar. Dessa rättssäkerhetsgarantier måste tillgodoses vid utvisningsförfarandet i de medlemsstaterIt is the sovereign prerogative of the state to regulate the presence of aliens within its territory. This right, however, is not without limits. Article 1 of Protocol No. 7 to the European Convention on Human Rights ensures procedural safeguards relating to the expulsion of aliens. These safeguards must be considered in expulsion proceedings by those Member States having ratified the protocol.
Purpose: The purpose of this paper is to examine the fans’ perspective of sport team loyalty and the reasons why brand loyalty is extremely high within sports. Methodology: This paper uses a qualitative research method with both primary data and secondary data. The literature review with previous research was collected by secondary data whereas the primary data was collected by six semi-structured
Low rank structures are present in many applications of computer vision and machine learning. A popular approach consists of explicitly parameterising the set or matrices with sought rank, leading to a bilinear factorisation, reducing the problem to find the bilinear factors. While such an approach can be efficiently implemented using second-order methods, such as Levenberg-Marquardt (LM) or Varia
Estimating receiver and sender positions is often solved using a stratified, two-tiered approach. In the first step the problem is converted to a low-rank matrix estimation problem. The second step can be seen as an affine upgrade. This affine upgrade is the focus of this paper. In the paper new efficient algorithms for solving for the upgrade parameters using minimal data are presented. It is als
Image quality measures are becoming increasingly important in the field of computer graphics. For example, there is currently a major focus on generating photorealistic images in real time by combining path tracing with denoising, for which such quality assessment is integral. We present FLIP, which is a difference evaluator with a particular focus on the differences between rendered images and co
The central problem of this thesis is estimating receiver-sender node positions from measured receiver-sender distances or equivalent measurements. This problem arises in many applications such as microphone array calibration, radio antenna array calibration, mapping and positioning using ultra-wideband and mapping and positioning using round-trip-time measurements between mobile phones and Wi-Fi-
Low rank approximation is a commonly occurring problem in many computer vision and machine learning applications. There are two common ways of optimizing the resulting models. Either the set of matrices with a given rank can be explicitly parametrized using a bilinear factorization, or low rank can be implicitly enforced using regularization terms penalizing non-zero singular values. While the for
pTropospheric ozone concentrations are sensitive to natural emissions of precursor compounds. In contrast to existing assumptions, recent evidence indicates that terrestrial vegetation emissions in the pre-industrial era were larger than in the present day. We use a chemical transport model and a radiative transfer model to show that revised inventories of pre-industrial fire and biogenic emission
The COVID-19 pandemic may have severe impact on mental health, and concerns have been raised about potentially increased online behavior and possibly increased gambling problems, such as in sports bettors at risk of transfer to even riskier forms of gambling during sports lock-down. Given the need for objective data about gambling behavior during the pandemic, the present analysis, from a project
In this paper, we propose a blind channel deconvolution method based on a sparse reconstruction framework exploiting a wideband dictionary under the (relatively weak) assumption that the transmitted signal may be assumed to be well modelled as a sum of sinusoids. Using a Toeplitz structured formulation of the received signal, we form an iterative blind deconvolution scheme, alternatively estimatin
Changes in forest cover have a strong effect on climate through the alteration of surface biogeophysical and biogeochemical properties that affect energy, water and carbon exchange with the atmosphere. To quantify biogeophysical and biogeochemical effects of deforestation in a consistent setup, nine Earth system models (ESMs) carried out an idealized experiment in the framework of the Coupled Mode
Combining forecasts from multiple temporal aggregation levels exploits information differences and mitigates model uncertainty, while reconciliation ensures a unified prediction that supports aligned decisions at different horizons. It can be challenging to estimate the full cross-covariance matrix for a temporal hierarchy, which can easily be of very large dimension, yet it is difficult to know a
Discontinuous Galerkin (DG) methods are promising high order discretizations for unsteady compressible flows. Here, we focus on Numerical Weather Prediction (NWP). These flows are characterized by a fine resolution in z-direction and low Mach numbers, making the system stiff. Thus, implicit time integration is required and for this a fast, highly parallel, low-memory iterative solver for the resul
Against the backdrop of Gaza and Europe’s muted response, this essay reflects on Elad Lapidot’s challenge to recognize the violence hidden in the language of peace.
Spatial compositional data with exact zeros arise in many applicationsbut remain challenging for models that often assume strictly positivecomponents. We develop a Bayesian spatial model that combines theDirichlet Composition Distribution, which accommodates exact zeros throughcomponent-specific zero probabilities, with a Gaussian Markov random field representationof the latent compositional field
Measurements of cross sections of inelastic and diffractive processes in proton-proton collisions at LHC energies were carried out with the ALICE detector. The fractions of diffractive processes in inelastic collisions were determined from a study of gaps in charged particle pseudorapidity distributions: for single diffraction (diffractive mass M-X < 200 GeV/c(2)) sigma(SD)/sigma(INEL) = 0.21 +/-
