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Beyond the Politics of Numbness

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.

A Jacobian-free Multigrid Preconditioner for Discontinuous Galerkin Methods Applied to Atmospheric Flows

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

Multimodel Pathway Enrichment Methods for Functional Evaluation of Expression Regulation.

Functional analysis of quantitative expression data is becoming common practice within the proteomics and transcriptomics fields; however, a gold standard for this type of analysis has yet not emerged. To grasp the systemic changes in biological systems, efficient and robust methods are needed for data analysis following expression regulation experiments. We discuss several conceptual and practica

The End of Law and Other Miracles : On the Limitations of Apocalyptic Political Theologies

This article explores various attempts to critique the law with reference to an authority or idea that is seen as transcending law in its existing forms. As heuristic tools, I use a distinction be-tween prophetic and apocalyptic discourses, the former referring to discourses that remain scep-tical to the possibility of suspending law in any absolute sense; the latter describing discourses that art

Prophetic Political Theology : Daniel Bensaïd's Alternative Radicalism

This article probes the writings of the Jewish Trotskyist thinker Daniel Bensaïd (1946–2010) in light of recent debates on political theology. In contrast to what is sometimes explicitly referred to as ‘apocalyptic political theology’, it makes a case for what may be described as a ‘prophetic political theology’. Yet it is not obvious to claim Bensaïd as a proponent for such a project, since he ex

Deep network for the integrated 3D sensing of multiple people in natural images

We present MubyNet - a feed-forward, multitask, bottom up system for the integrated localization, as well as 3d pose and shape estimation, of multiple people in monocular images. The challenge is the formal modeling of the problem that intrinsically requires discrete and continuous computation, e.g. grouping people vs. predicting 3d pose. The model identifies human body structures (joints and limb

Making Minimal Solvers for Absolute Pose Estimation Compact and Robust

In this paper we present new techniques for constructing compact and robust minimal solvers for absolute pose estimation. We focus on the P4Pfr problem, but the methods we propose are applicable to a more general setting. Previous approaches to P4Pfr suffer from artificial degeneracies which come from their formulation and not the geometry of the original problem. In this paper we show how to avoi

The Community Inversion Framework v1.0 : A unified system for atmospheric inversion studies

Atmospheric inversion approaches are expected to play a critical role in future observation-based monitoring systems for surface fluxes of greenhouse gases (GHGs), pollutants and other trace gases. In the past decade, the research community has developed various inversion software, mainly using variational or ensemble Bayesian optimization methods, with various assumptions on uncertainty structure

The consolidated European synthesis of CO2emissions and removals for the European Union and United Kingdom : 1990-2018

Reliable quantification of the sources and sinks of atmospheric carbon dioxide (CO2), including that of their trends and uncertainties, is essential to monitoring the progress in mitigating anthropogenic emissions under the Kyoto Protocol and the Paris Agreement. This study provides a consolidated synthesis of estimates for all anthropogenic and natural sources and sinks of CO2 for the European Un

Mapping and Merging Using Sound and Vision : Automatic Calibration and Map Fusion with Statistical Deformations

Over the last couple of years both cameras, audio and radio sensors have become cheaper and more common in our everyday lives. Such sensors can be used to create maps of where the sensors are positioned and the appearance of the surroundings. For sound and radio, the process of estimating the sender and receiver positions from time of arrival (TOA) or time-difference of arrival (TDOA) measurements

High-resolution source localization exploiting the sparsity of the beamforming map

Beamforming technology plays a significant role in source localization and quantification. As traditional delay-and-sum beamformers generally yield low spatial resolution, as well as suffer from the occurrence of spurious sources, different forms of deconvolution methods have been proposed in the literature. In this work, we propose two approaches based on a sparse reconstruction framework combine

Exponential Set-Point Stabilization of Underactuated Vehicles Moving in Three-Dimensional Space

This paper investigates the stabilization of underactuated vehicles moving in a three-dimensional vector space. The vehicle's model is established on the matrix Lie group SE(3), which describes the configuration of rigid bodies globally and uniquely. We focus on the kinematic model of the underactuated vehicle, which features an underactuation form that has no sway and heave velocity. To compensat

Robust image-to-image color transfer using optimal inlier maximization

In this paper we target the color transfer estimation problem, when we have pixel-to-pixel correspondences. We present a feature-based method, that robustly fits color transforms to data containing gross outliers. Our solution is based on an optimal inlier maximization algorithm that maximizes the number of inliers in polynomial time. We introduce a simple feature detector and descriptor based on

Fast solvers for minimal radial distortion relative pose problems

In this paper we present a unified formulation for a large class of relative pose problems with radial distortion and varying calibration. For minimal cases, we show that one can eliminate the number of parameters down to one to three. The relative pose can then be expressed using varying calibration constraints on the fundamental matrix, with entries that are polynomial in the parameters. We can

Övervakning av fåglarnas populationsutveckling. Årsrapport för 2013.

I denna rapport redovisas populationstrender för 178 svenska fågelarter för åren 1975–2013. Fåglarna har räknats på vintern och på sommaren enligt strikt standardiserade metoder. Sommar- respektive vinterpunktrutter har räknats sedan 1975, i huvudsak i södra Sverige. Standardrutterna räknas också på sommaren (sedan 1996) men täcker hela Sverige. Vintern 2012/2013 räknades 130 000 fåglar av 128 artWe present the results of the Swedish Bird Survey, run by the Department of Biology, Lund University, as a part of the National Monitoring Programme of the Swedish Environmental Protection Agency. The results for 2013 include data from 580 winter point count routes in 2012/2013 (38th winter), of which 295 were carried out during the Christmas/New Year count and 273 summer point count routes (39th

Perception of slipperiness, thermal comfort and wearability of footwear used on icy surfaces

The objectives of this study are to assess the perception of slipperiness, thermal comfort, and wearability of footwear used on icy surfaces, and the anti-slip effect of materials spread on ice using outdoor walking trials. Twenty-five subjects wore four types of footwear walking on five different icy surfaces. Five-point rating scale was used recording wearer's perception. The results showed that