
Automatic Analysis of Sewer Pipes Based on Unrolled Monocular Fisheye Images
The task of detecting and classifying damages in sewer pipes offers an i...
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Bayesian Nonlinear Support Vector Machines for Big Data
We propose a fast inference method for Bayesian nonlinear support vector...
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leave a trace  A People Tracking System Meets Anomaly Detection
Video surveillance always had a negative connotation, among others becau...
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Feature Importance Measure for Nonlinear Learning Algorithms
Complex problems may require sophisticated, nonlinear learning methods ...
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NonEvolutionary Superintelligences Do Nothing, Eventually
There is overwhelming evidence that human intelligence is a product of D...
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Fast and Accurate Time Series Classification with WEASEL
Time series (TS) occur in many scientific and commercial applications, r...
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Active exploration of sensor networks from a robotics perspective
Traditional algorithms for robots who need to integrate into a wireless ...
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A continuous framework for fairness
Increasingly, discrimination by algorithms is perceived as a societal an...
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Gradientbased Taxis Algorithms for Network Robotics
Finding the physical location of a specific network node is a prototypic...
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Fano schemes of generic intersections and machine learning
We investigate Fano schemes of conditionally generic intersections, i.e....
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Smaller parameters for vertex cover kernelization
We revisit the topic of polynomial kernels for Vertex Cover relative to ...
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Answering UCQs under updates and in the presence of integrity constraints
We investigate the query evaluation problem for fixed queries over fully...
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DemandIndependent Tolls
Wardrop equilibria in nonatomic congestion games are in general ineffici...
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Early stopping for statistical inverse problems via truncated SVD estimation
We consider truncated SVD (or spectral cutoff, projection) estimators f...
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Memetic search for overlapping topics based on a local evaluation of link communities
In spite of recent advances in field delineation methods, bibliometricia...
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Statistical Experimental Design in Compressed Sensing Setups for Optical and Transmission Electron Microscopy
The Cramér Rao lower bound on the variance of parameters estimated from ...
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Discrete Gaussian distributions via theta functions
We introduce a discrete analogue of the classical multivariate Gaussian ...
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Shadow Symbolic Execution with Java PathFinder
Regression testing ensures that a software system when it evolves still ...
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Efficient Gaussian Process Classification Using PolyaGamma Data Augmentation
We propose an efficient stochastic variational approach to GP classifica...
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Maximal Exploration of Trees with EnergyConstrained Agents
We consider the problem of exploring an unknown tree with a team of k in...
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The parameterized complexity of finding a 2sphere in a simplicial complex
We consider the problem of finding a subcomplex K' of a simplicial compl...
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Capturing Logarithmic Space and Polynomial Time on Chordal ClawFree Graphs
We show that the class of chordal clawfree graphs admits LREC=definabl...
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Capturing Polynomial Time using Modular Decomposition
The question of whether there is a logic that captures polynomial time i...
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High Dimensional Time Series Generators
Multidimensional time series are sequences of real valued vectors. They ...
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Efficient and adaptive parameterized algorithms on modular decompositions
We study the influence of a graph parameter called modularwidth on the ...
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Online Best Reply Algorithms for Resource Allocation Problems
We study online resource allocation problems with a diseconomy of scale....
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Bipartite Graphs of Small Readability
We study a parameter of bipartite graphs called readability, introduced ...
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Predictive Performance Modeling for Distributed Computing using BlackBox Monitoring and Machine Learning
In many domains, the previous decade was characterized by increasing dat...
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Greedy domination on bicliquefree graphs
The greedy algorithm for approximating dominating sets is a simple metho...
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Selective Inference for L_2Boosting
We review several recently proposed postselection inference frameworks ...
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Crossmodal Hallucination for Fewshot Finegrained Recognition
Stateoftheart deep learning algorithms generally require large amount...
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Reflection Analysis for Face Morphing Attack Detection
A facial morph is a synthetically created image of a face that looks sim...
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Mapping the research software sustainability space
A growing number of largely uncoordinated initiatives focus on research ...
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Scalable Katz Ranking Computation in Large Static and Dynamic Graphs
Network analysis defines a number of centrality measures to identify the...
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The State of Sustainable Research Software: Results from the Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE5.1)
This article summarizes motivations, organization, and activities of the...
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Testing for Balance in Social Networks
Friendship and antipathy exist in concert with one another in real socia...
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Asymptotic efficiency for covariance estimation under noise and asynchronicity
The estimation of the covariance structure from a discretely observed mu...
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Nonparametric Bayesian analysis of the compound Poisson prior for support boundary recovery
Given data from a Poisson point process with intensity (x,y) n 1(f(x)≤ ...
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Multivariate Brenier cumulative distribution functions and their application to nonparametric testing
In this work we introduce a novel approach of construction of multivaria...
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DOptimal Design for the Rasch Counts Model with Multiple Binary Predictors
In this paper, we derive optimal designs for the Rasch Poisson counts mo...
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Multibudgeted directed cuts
We study multibudgeted variants of the classic minimum cut problem and ...
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Communities as Well Separated Subgraphs With Cohesive Cores: Identification of CorePeriphery Structures in Link Communities
Communities in networks are commonly considered as highly cohesive subgr...
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An Optimal Construction for the BarthelmannSchwentick Normal Form on Classes of Structures of Bounded Degree
Building on the locality conditions for firstorder logic by Hanf and Ga...
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A note on the prediction error of principal component regression
We analyse the prediction error of principal component regression (PCR) ...
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Progressive Algorithms for Domination and Independence
We consider a generic algorithmic paradigm that we call progressive expl...
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Parametrized Nash Equilibria in Atomic Splittable Congestion Games via Weighted Block Laplacians
We consider atomic splittable congestion games with affine cost function...
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An Analytical Approach to Improving Time Warping on Multidimensional Time Series
Dynamic time warping (DTW) is one of the most used distance functions to...
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Efficient Measuring of Congruence on High Dimensional Time Series
A time series is a sequence of data items; typical examples are streams ...
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Uniform HansonWright type concentration inequalities for unbounded entries via the entropy method
This paper is devoted to uniform versions of the HansonWright inequalit...
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The SuperMTree: Indexing metric spaces with sized objects
A common approach to implementing similarity search applications is the ...
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HumboldtUniversität zu Berlin
The honey bee is one of our most important farm animals. The State Institute for Beekeeping Hohen Neuendorf e.V. is engaged in practiceoriented research on various aspects of bee biology.