
Attention on Abstract Visual Reasoning
Attention mechanisms have been boosting the performance of deep learning...
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A Region Based Easy Path Wavelet Transform For Sparse Image Representation
The Easy Path Wavelet Transform is an adaptive transform for bivariate f...
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DOTmark  A Benchmark for Discrete Optimal Transport
The Wasserstein metric or earth mover's distance (EMD) is a useful tool ...
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Separating the Real from the Synthetic: Minutiae Histograms as Fingerprints of Fingerprints
In this study we show that by the current stateoftheart synthetically...
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Perfect Fingerprint Orientation Fields by Locally Adaptive Global Models
Fingerprint recognition is widely used for verification and identificati...
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Simultaneous Inpainting and Denoising by Directional Global Threepart Decomposition: Connecting Variational and Fourier Domain Based Image Processing
We consider the very challenging task of restoring images (i) which have...
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Extended Object Tracking: Introduction, Overview and Applications
This article provides an elaborate overview of current research in exten...
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Directional Global Threepart Image Decomposition
We consider the task of image decomposition and we introduce a new model...
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Estimating AbsolutePhase Maps Using ESPIRiT and Virtual Conjugate Coils
Purpose: To develop an ESPIRiTbased method to estimate coil sensitiviti...
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Skilled Impostor Attacks Against Fingerprint Verification Systems And Its Remedy
Fingerprint verification systems are becoming ubiquitous in everyday lif...
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Filter Design and Performance Evaluation for Fingerprint Image Segmentation
Fingerprint recognition plays an important role in many commercial appli...
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The Filament Sensor for Near RealTime Detection of Cytoskeletal Fiber Structures
A reliable extraction of filament data from microscopic images is of hig...
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The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems
Finding solutions to the classical transportation problem is of great im...
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Confidence Sets Based on Penalized Maximum Likelihood Estimators in Gaussian Regression
Confidence intervals based on penalized maximum likelihood estimators su...
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Statistical Multiresolution Estimation for Variational Imaging: With an Application in PoissonBiophotonics
In this paper we present a spatiallyadaptive method for image reconstru...
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Curved Gabor Filters for Fingerprint Image Enhancement
Gabor filters play an important role in many application areas for the e...
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Statistical Multiresolution Dantzig Estimation in Imaging: Fundamental Concepts and Algorithmic Framework
In this paper we are concerned with fully automatic and locally adaptive...
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Minimax estimation in linear models with unknown finite alphabet design
We provide minimax theory for joint estimation of F and ω in linear mode...
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Adaptive BeamFrequency Allocation Algorithm with Position Uncertainty for MillimeterWave MIMO Systems
Envisioned for fifth generation (5G) systems, millimeterwave (mmWave) c...
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Correction of "A Comparative Study to Benchmark Crossproject Defect Prediction Approaches"
Unfortunately, the article "A Comparative Study to Benchmark Crossproje...
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Weak convergence of the sequential empirical copula processes under longrange dependence
We consider nonparametric estimation for multivariate copulabased stati...
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Benchmarking crossproject defect prediction approaches with costs metrics
Defect prediction can be a powerful tool to guide the use of quality ass...
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Detecting Anisotropy in Fingerprint Growth
From infancy to adulthood, human growth is anisotropic, much more along ...
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Automatic Passenger Counting: Introducing the tTest Induced Equivalence Test
Automatic passenger counting in public transport has been emerging rapid...
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Optimal Transport: Fast Probabilistic Approximation with Exact Solvers
We propose a simple subsampling scheme for fast randomized approximate c...
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An algorithm for computing Fréchet means on the sphere
For most optimisation methods an essential assumption is the vector spac...
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Maximum likelihood estimation in hidden Markov models with inhomogeneous noise
We consider parameter estimation in hidden finite state space Markov mod...
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On a MetropolisHastings importance sampling estimator
A classical approach for approximating expectations of functions w.r.t. ...
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Solvable Integration Problems and Optimal Sample Size Selection
We want to compute the integral of a function or the expectation of a ra...
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Topology Control for EnergyEfficient Localization in Mobile Underwater Sensor Networks using Stackelberg Game
The characteristics of mobile Underwater Sensor Networks (UWSNs), such a...
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Efficient Resource Allocation for OnDemand MobileEdge Cloud Computing
Mobileedge cloud computing is a new paradigm to provide cloud computing...
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Statistical Aspects of Wasserstein Distances
Wasserstein distances are metrics on probability distributions inspired ...
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Generalized additive models for location, scale and shape for program evaluation: A guide to practice
This paper introduces generalized additive models for location, scale an...
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Discrete versus continuous domain models for disease mapping
Disease mapping aims to assess variation of disease risk over space and ...
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Posterior Consistency in the Binomial (n,p) Model with Unknown n and p: A Numerical Study
Estimating the parameters from k independent Bin(n,p) random variables, ...
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Posterior consistency for n in the binomial (n,p) problem with both parameters unknown  with applications to quantitative nanoscopy
The estimation of the population size n from k i.i.d. binomial observati...
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Metaanalysis of few studies involving rare events
Metaanalyses of clinical trials targeting rare events face particular c...
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Perturbation Bounds for Monte Carlo within Metropolis via Restricted Approximations
The Monte Carlo within Metropolis (MCwM) algorithm, interpreted as a per...
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Phase I doseescalation trials with more than one dosing regimen
Traditionally, phase I doseescalation oncology trials are designed to f...
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Poisoning Behavioral Malware Clustering
Clustering algorithms have become a popular tool in computer security to...
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A MultiObjective Anytime Rule Mining System to Ease Iterative Feedback from Domain Experts
Data extracted from software repositories is used intensively in Softwar...
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An Industrial Case Study on Shrinking Code Review Changesets through Remark Prediction
Changebased code review is used widely in industrial software developme...
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Bayesian semiparametric modelling of phasevarying point processes
We propose a Bayesian semiparametric approach for modelling registration...
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On the Convergence of the Laplace Approximation and NoiseLevelRobustness of Laplacebased Monte Carlo Methods for Bayesian Inverse Problems
The Bayesian approach to inverse problems provides a rigorous framework ...
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A weighted Discrepancy Bound of quasiMonte Carlo Importance Sampling
Importance sampling MonteCarlo methods are widely used for the approxim...
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A systematic mapping study of developer social network research
Developer social networks (DSNs) are a tool for the analysis of communit...
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Threshold Selection in Univariate Extreme Value Analysis
Threshold selection plays a key role for various aspects of statistical ...
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Quantitative spectral gap estimate and Wasserstein contraction of simple slice sampling
We prove Wasserstein contraction of simple slice sampling for approximat...
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Optimal Fusion of Elliptic Extended Target Estimates based on the Wasserstein Distance
This paper considers the fusion of multiple estimates of a spatially ext...
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A Smoothness Energy without Boundary Distortion for Curved Surfaces
Current quadratic smoothness energies for curved surfaces either exhibit...
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The University of Göttingen
The University of Göttingen, officially the GeorgAugust University of Göttingen, is a public research university in the city of Göttingen, Germany.