Universität Ulm

∙ Ulm , Germany ∙ 0 followers

Research strong, young university with over 10,000 students in medicine and STEM subjects in the middle of the city of science Ulm.

Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations

To properly convey neural network architectures in publications, appropr...
02/11/2019 ∙ by Alex Bäuerle, et al. ∙ 30 ∙ share

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Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions

A good and robust sensor data fusion in diverse weather conditions is a ...
07/06/2018 ∙ by Andreas Pfeuffer, et al. ∙ 12 ∙ share

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Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds

We propose an efficient and effective method to learn convolutions for n...
06/05/2018 ∙ by Pedro Hermosilla, et al. ∙ 8 ∙ share

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DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration

This work addresses the problem of point cloud registration using deep n...
07/22/2020 ∙ by Markus Horn, et al. ∙ 4 ∙ share

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Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data

Convolutional neural networks gain more and more popularity in image cla...
08/09/2018 ∙ by Alex Bäuerle, et al. ∙ 2 ∙ share

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Who wins the Miss Contest for Imputation Methods? Our Vote for Miss BooPF

Missing data is an expected issue when large amounts of data is collecte...
11/30/2017 ∙ by Burim Ramosaj, et al. ∙ 0 ∙ share

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Hierarchical State Abstractions for Decision-Making Problems with Computational Constraints

In this semi-tutorial paper, we first review the information-theoretic a...
10/22/2017 ∙ by Daniel T. Larsson, et al. ∙ 0 ∙ share

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Justifications in Constraint Handling Rules for Logical Retraction in Dynamic Algorithms

We present a straightforward source-to-source transformation that introd...
06/24/2017 ∙ by Thom Fruehwirth, et al. ∙ 0 ∙ share

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Efficient Dictionary Learning with Sparseness-Enforcing Projections

Learning dictionaries suitable for sparse coding instead of using engine...
04/16/2016 ∙ by Markus Thom, et al. ∙ 0 ∙ share

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Sparse Activity and Sparse Connectivity in Supervised Learning

Sparseness is a useful regularizer for learning in a wide range of appli...
03/28/2016 ∙ by Markus Thom, et al. ∙ 0 ∙ share

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Rapid Exact Signal Scanning with Deep Convolutional Neural Networks

A rigorous formulation of the dynamics of a signal processing scheme aim...
08/27/2015 ∙ by Markus Thom, et al. ∙ 0 ∙ share

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The Configurable SAT Solver Challenge (CSSC)

It is well known that different solution strategies work well for differ...
05/05/2015 ∙ by Frank Hutter, et al. ∙ 0 ∙ share

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Exchanging Conflict Resolution in an Adaptable Implementation of ACT-R

In computational cognitive science, the cognitive architecture ACT-R is ...
05/14/2014 ∙ by Daniel Gall, et al. ∙ 0 ∙ share

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Low-Rank Matrix Recovery using Gabidulin Codes in Characteristic Zero

We present a new approach on low-rank matrix recovery (LRMR) based on Ga...
04/15/2016 ∙ by Sven Müelich, et al. ∙ 0 ∙ share

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Extended Object Tracking: Introduction, Overview and Applications

This article provides an elaborate overview of current research in exten...
03/14/2016 ∙ by Karl Granström, et al. ∙ 0 ∙ share

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Syntactic vs. Semantic Locality: How Good Is a Cheap Approximation?

Extracting a subset of a given OWL ontology that captures all the ontolo...
07/06/2012 ∙ by Chiara Del Vescovo, et al. ∙ 0 ∙ share

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On the Relation between two Rotation Metrics

In their work "Global Optimization through Rotation Space Search", Richa...
12/14/2015 ∙ by Thomas Ruland, et al. ∙ 0 ∙ share

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Eliminating Odd Cycles by Removing a Matching

We study the problem of determining whether a given graph G=(V, E) admit...
10/21/2017 ∙ by Carlos V. G. C. Lima, et al. ∙ 0 ∙ share

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Finding Small Weight Isomorphisms with Additional Constraints is Fixed-Parameter Tractable

Lubiw showed that several variants of Graph Isomorphism are NP-complete,...
09/28/2017 ∙ by V. Arvind, et al. ∙ 0 ∙ share

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Decoding Interleaved Gabidulin Codes using Alekhnovich's Algorithm

We prove that Alekhnovich's algorithm can be used for row reduction of s...
04/20/2016 ∙ by Sven Puchinger, et al. ∙ 0 ∙ share

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Algebraic Soft Decoding Algorithms for Reed-Solomon Codes Using Module

The interpolation based algebraic decoding for Reed-Solomon (RS) codes c...
12/04/2017 ∙ by Jiongyue Xing, et al. ∙ 0 ∙ share

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Improved Power Decoding of Interleaved One-Point Hermitian Codes

We propose a new partial decoding algorithm for h-interleaved one-point ...
01/22/2018 ∙ by Sven Puchinger, et al. ∙ 0 ∙ share

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Analysis of Multivariate Data and Repeated Measures Designs with the R Package MANOVA.RM

The numerical availability of statistical inference methods for a modern...
01/24/2018 ∙ by Sarah Friedrich, et al. ∙ 0 ∙ share

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Multiplication-Combination Tests for Incomplete Paired Data

We consider statistical procedures for hypothesis testing of real valued...
01/26/2018 ∙ by Lubna Amro, et al. ∙ 0 ∙ share

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Rapid Testing of IaaS Resource Management Algorithms via Cloud Middleware Simulation

Infrastructure as a Service (IaaS) Cloud services allow users to deploy ...
01/29/2018 ∙ by Christian Stier, et al. ∙ 0 ∙ share

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Confluence Modulo Equivalence with Invariants in Constraint Handling Rules

Confluence denotes the property of a state transition system that states...
02/09/2018 ∙ by Daniel Gall, et al. ∙ 0 ∙ share

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Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning

Avoiding collisions with vulnerable road users (VRUs) using sensor-based...
03/09/2018 ∙ by Michael Goldhammer, et al. ∙ 0 ∙ share

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Temporal Human Action Segmentation via Dynamic Clustering

We present an effective dynamic clustering algorithm for the task of tem...
03/15/2018 ∙ by Yan Zhang, et al. ∙ 0 ∙ share

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TYDR - Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data

We present the Android app TYDR (Track Your Daily Routine) which tracks ...
03/18/2018 ∙ by Felix Beierle, et al. ∙ 0 ∙ share

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Estimation of geodesic tortuosity and constrictivity in stationary random closed sets

We investigate the problem of estimating geodesic tortuosity and constri...
04/06/2018 ∙ by Matthias Neumann, et al. ∙ 0 ∙ share

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VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs

Vehicular networks are networks of communicating vehicles, a major enabl...
04/18/2018 ∙ by Rens W. van der Heijden, et al. ∙ 0 ∙ share

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Multi-Source Fusion Operations in Subjective Logic

The purpose of multi-source fusion is to combine information from more t...
05/03/2018 ∙ by Rens Wouter van der Heijden, et al. ∙ 0 ∙ share

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Detecting Traffic Lights by Single Shot Detection

Recent improvements in object detection are driven by the success of con...
05/07/2018 ∙ by Julian Müller, et al. ∙ 0 ∙ share

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Disparity Sliding Window: Object Proposals From Disparity Images

Sliding window approaches have been widely used for object recognition t...
05/17/2018 ∙ by Julian Müller, et al. ∙ 0 ∙ share

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A cautionary tale on using imputation methods for inference in matched pairs design

Imputation procedures in biomedical fields have turned into statistical ...
06/18/2018 ∙ by Burim Ramosaj, et al. ∙ 0 ∙ share

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Void Space Surfaces to Convey Depth in Vessel Visualizations

To enhance depth perception and thus data comprehension, additional dept...
06/20/2018 ∙ by Julian Kreiser, et al. ∙ 0 ∙ share

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A solution to a linear integral equation with an application to statistics of infinitely divisible moving averages

For given measurable functions g,h:R^d →R and a (weighted) L^2-function ...
07/05/2018 ∙ by Jochen Glück, et al. ∙ 0 ∙ share

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Weak dependence and GMM estimation of supOU and mixed moving average processes

We consider a mixed moving average (MMA) process X driven by a Lévy basi...
07/16/2018 ∙ by Imma Valentina Curato, et al. ∙ 0 ∙ share

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More powerful logrank permutation tests for two-sample survival data

Weighted logrank tests are a popular tool for analyzing right censored s...
07/15/2018 ∙ by Marc Ditzhaus, et al. ∙ 0 ∙ share

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Coloured Ring Confidential Transactions

Privacy in block-chains is considered second to functionality, but a vit...
07/27/2018 ∙ by Felix Engelmann, et al. ∙ 0 ∙ share

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A Flexible Network Approach to Privacy of Blockchain Transactions

For preserving privacy, blockchains can be equipped with dedicated mecha...
07/30/2018 ∙ by David Mödinger, et al. ∙ 0 ∙ share

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Bounded Rational Decision-Making with Adaptive Neural Network Priors

Bounded rationality investigates utility-optimizing decision-makers with...
09/04/2018 ∙ by Heinke Hihn, et al. ∙ 0 ∙ share

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A comparative tour through the simulation algorithms for max-stable processes

Max-stable processes form a fundamental class of stochastic processes in...
09/24/2018 ∙ by Marco Oesting, et al. ∙ 0 ∙ share

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On a linear functional for infinitely divisible moving average random fields

Given a low-frequency sample of the infinitely divisible moving average ...
10/21/2018 ∙ by Stefan Roth, et al. ∙ 0 ∙ share

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Minimum Reload Cost Graph Factors

The concept of Reload cost in a graph refers to the cost that occurs whi...
10/27/2018 ∙ by Julien Baste, et al. ∙ 0 ∙ share

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Inviwo - A Visualization System with Usage Abstraction Levels

The complexity of today's visualization applications demands specific vi...
11/29/2018 ∙ by Daniel Jönsson, et al. ∙ 0 ∙ share

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An Empirical Study towards Understanding How Deep Convolutional Nets Recognize Falls

Detecting unintended falls is essential for ambient intelligence and hea...
12/05/2018 ∙ by Yan Zhang, et al. ∙ 0 ∙ share

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Local Temporal Bilinear Pooling for Fine-grained Action Parsing

Fine-grained temporal action parsing is important in many applications, ...
12/05/2018 ∙ by Yan Zhang, et al. ∙ 0 ∙ share

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A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV's Safety

Use of cooperative information, distributed by road-side units, offers l...
02/12/2019 ∙ by Johannes Müller, et al. ∙ 0 ∙ share

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Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution

This paper presents an efficient model for object detection from LiDAR s...
05/08/2019 ∙ by Manuel Herzog, et al. ∙ 0 ∙ share

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