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TOA Sensor Network Calibration for Receiver and Transmitter Spaces with Difference in Dimension

We study and solve the previously unstudied problem of finding both sender and receiver positions from time of arrival (TOA) measurements when there is a difference in dimensionality between the affine subspaces spanned by receivers and senders. Anchor-free TOA network calibration has uses both in sound, radio and radio strength applications. Using linear techniques and requiring only a minimal nu

Frequency Estimation Based on Hankel Matrices and the Alternating Direction Method of Multipliers

We develop a parametric high-resolution method for the estimation of the frequency nodes of linear combinations of complex exponentials with exponential damping. We use Kronecker's theorem to formulate the associated nonlinear least squares problem as an optimization problem in the space of vectors generating Hankel matrices of fixed rank. Approximate solutions to this problem are obtained by usin

REFRACTIVE: An Open Source Tool to Extract Knowledge from Syntactic and Semantic Relations

The extraction of semantic propositions has proven instrumental in applications like IBM Watson (Ferrucci, 2012) and in Google’s knowledge graph (Singhal, 2012). One of the core components of IBM Watson is the PRISMATIC knowledge base consisting of one billion propositions extracted from the English version of Wikipedia and the New York Times (Fan et al., 2010). However, extracting the proposition

Polynomial Solvers for Geometric Problems - Applications in Computer Vision and Sensor Networks

Given images of a scene taken by a moving camera or recordings of a moving smart phone playing a song by a microphone array, how hard is it to reconstruct the scene structure or the moving trajectory of the phone? In this thesis, we study and solve several fundamental geometric problems in order to provide solutions to these problems. The key underlying technique for solving such geometric probl

Planar Motion and Hand-Eye Calibration Using Inter-Image Homographies from a Planar Scene

In this paper we consider a mobile platform performing partial hand-eye calibration and Simultaneous Localisation and Mapping (SLAM) using images of the floor along with the assumptions of planar motion and constant internal camera parameters. The method used is based on a direct parametrisation of the camera motion, combined with an iterative scheme for determining the motion parameters from inte

Computing with Python

Description: Python® is a free open-source language and environment that has great potential in scientific computing. Computing with Python presents the programming language in close connection wit mathematical applications. The approach of the book is concept based rather than a systematic introduction to the language. It is written for a mathematical readership and is aimed at students with a ma

A customizable pattern-based software process simulation model: design, calibration and application

Software process analysis and improvement relies heavily on empirical research. Empirical research requires measurement, experimentation, and modeling. However, whatever evidence is gained via empirical research is strongly context dependent. Thus, it is hard to combine results and capitalize upon them for the purpose of improvement in evolving development environments. The process simulationmodel

Applications of Machine Vision — Quality Control, Cancer Detection and Traffic Surveillance

During the last decades, image analysis has become an important tool in various applications. The increase in computer power has led to that more advances algorithms can be developed. In this thesis image analysis has been used in three different applications; quality control of asphalt, cancer detection in histopathological images and traffic surveillance. In the first part of the thesis image a

Obesity and familial obesity and risk of cancer.

Obesity is associated with a risk of at least 20 different cancers. We aimed at defining cancer risks in prospectively recruited patients with a novel subgroup, those with a family history of obesity. We defined a cohort of 30 020 patients who had been hospitalized since 1964. Cancer risks in these patients were followed through 2006. Standardized incidence ratios were calculated for cancer using

Risk of coronary heart disease in patients with cancer: A nationwide follow-up study from Sweden.

BACKGROUND: Risk of coronary heart disease (CHD) in cancer patients has not been thoroughly investigated. The aim of the present study was to examine whether there is an association between cancer and first hospitalisation for CHD. METHODS: All individuals in Sweden with a diagnosis of cancer between 1st January 1987 and 31st December 2008 were followed for first hospitalisation for CHD. The refer

Minimal Structure and Motion Problems for TOA and TDOA Measurements with Collinearity Constraints

Structure from sound can be phrased as the problem of determining the position of a number of microphones and a number of sound sources given only the recorded sounds. In this paper we study minimal structure from sound problems in both TOA (time of arrival) and TDOA (time difference of arrival) settings with collinear constraints on e.g. the microphone positions. Three such minimal cases are anal

“Crime fiction at the service of society – on some perils in the making of a Scandinavian film town”

Crime fiction at the service of society – on some perils in the making of a Scandinavian film town During the last decades, regional film funds and tax breaks have altered the geography of European film production. Film and other forms of audiovisual media are increasingly produced in places far from where such activities customarily occurred. Sweden may be among the countries where the tendency

Pseudo-Boolean Optimization: Theory and Applications in Vision

Many problems in computer vision, such as stereo, segmentation and denoising can be formulated as pseudo-boolean optimization problems. Over the last decade, graphs cuts have become a standard tool for solving such problems. The last couple of years have seen a great advancement in the methods used to minimize pseudoboolean functions of higher order than quadratic. In this paper, we give an overvi

Plant Aquaporins: A study of expression, localization, specificity, and regulation

Popular Abstract in Swedish 2003 års Nobelpris i kemi gick till professor Peter Agre för upptäckten av aquaporinerna. Aquaporiner är proteiner som sitter i membran och bildar kanaler som tillåter vatten och andra små neutrala molekyler att passera genom membranet. Aquaporinerna utgör en mycket gammal och välkonserverad proteinfamilj som finns i alla levande organismer som hittills undersökts. VäxAquaporins, or Major Intrinsic Proteins (MIPs), are integral proteins that facilitate transport of water and other small neutral solutes across biological membranes. They belong to a well conserved and ancient family of proteins, present in all organisms ranging from bacteria to plants and humans. The aquaporin family in plants is large, indicating complex and regulated water transport within the

Polynomial Solvers for Saturated Ideals

In this paper we present a new method for creating polynomialsolvers for problems where a (possibly infinite) subsetof the solutions are undesirable or uninteresting. Thesesolutions typically arise from simplifications made duringmodeling, but can also come from degeneracies which areinherent to the geometry of the original problem.The proposed approach extends the standard action matrixmethod to

The Misty Three Point Algorithm for Relative Pose

There is a significant interest in scene reconstructionfrom underwater images given its utility for oceanic researchand for recreational image manipulation. In this paperwe propose a novel algorithm for two view camera motionestimation for underwater imagery. Our method leveragesthe constraints provided by the attenuation propertiesof water and its effects on the appearance of the color todetermin

Towards Real-time Time-of-Arrival Self-Calibration using Ultra-Wideband Anchors

Indoor localisation is a currently a key issue, from robotics to the Internet of Things. With hardware advancements making Ultra-Wideband devices more accurate and low powered (potentially even passive), this unlocks the potential of having such devices in common place around factories and homes, enabling an alternative method of navigation. Therefore, anchor calibration indoors becomes a key prob

Path Generation for Affine Flow Thinning

Flow thinning (FT) is a traffic routing and protection strategy for communication networks whose links experience fluctuations in available capacity (as, e.g., in wireless networks). To cope with this phenomenon, end-to-end traffic demands are assigned dedicated tunnels (e.g., MPLS tunnels) whose nominal capacity is subject to thinning in order to account for variable capacity of the links, fluctu