Technische Universität Kaiserslautern

∙ Kaiserslautern , Germany ∙ 0 followers

TU Kaiserslautern is organized into 12 faculties. Approximately 14,500 students are enrolled at the moment.

Rethinking Assumptions in Deep Anomaly Detection

Though anomaly detection (AD) can be viewed as a classification problem ...
05/30/2020 ∙ by Lukas Ruff, et al. ∙ 51 ∙ share

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Deep Semi-Supervised Anomaly Detection

Deep approaches to anomaly detection have recently shown promising resul...
06/06/2019 ∙ by Lukas Ruff, et al. ∙ 12 ∙ share

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Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation

The piecewise constant Mumford-Shah (PCMS) model and the Rudin-Osher-Fat...
07/26/2018 ∙ by Xiaohao Cai, et al. ∙ 6 ∙ share

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FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs

It is well known that many types of artificial neural networks, includin...
07/11/2018 ∙ by Vladimir Rybalkin, et al. ∙ 4 ∙ share

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Copula & Marginal Flows: Disentangling the Marginal from its Joint

Deep generative networks such as GANs and normalizing flows flourish in ...
07/07/2019 ∙ by Magnus Wiese, et al. ∙ 2 ∙ share

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Survey of reasoning using Neural networks

Reason and inference require process as well as memory skills by humans....
02/14/2017 ∙ by Amit Sahu, et al. ∙ 0 ∙ share

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TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization

Recent research implies that training and inference of deep neural netwo...
10/13/2017 ∙ by Dominik Marek Loroch, et al. ∙ 0 ∙ share

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Symbol Grounding Association in Multimodal Sequences with Missing Elements

In this paper, we extend a symbolic association framework for being able...
11/13/2015 ∙ by Federico Raue, et al. ∙ 0 ∙ share

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Most central or least central? How much modeling decisions influence a node's centrality ranking in multiplex networks

To understand a node's centrality in a multiplex network, its centrality...
06/17/2016 ∙ by Sude Tavassoli, et al. ∙ 0 ∙ share

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Relating Strong Spatial Cognition to Symbolic Problem Solving --- An Example

In this note, we discuss and analyse a shortest path finding approach us...
06/14/2016 ∙ by Ulrich Furbach, et al. ∙ 0 ∙ share

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Active Canny: Edge Detection and Recovery with Open Active Contour Models

We introduce an edge detection and recovery framework based on open acti...
09/12/2016 ∙ by Muhammet Bastan, et al. ∙ 0 ∙ share

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Variational Image Segmentation Model Coupled with Image Restoration Achievements

Image segmentation and image restoration are two important topics in ima...
05/09/2014 ∙ by Xiaohao Cai, et al. ∙ 0 ∙ share

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Nemo/Hecke: Computer Algebra and Number Theory Packages for the Julia Programming Language

We introduce two new packages, Nemo and Hecke, written in the Julia prog...
05/17/2017 ∙ by Claus Fieker, et al. ∙ 0 ∙ share

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Modular Techniques For Noncommutative Gröbner Bases

In this note, we extend modular techniques for computing Gröbner bases f...
04/10/2017 ∙ by Wolfram Decker, et al. ∙ 0 ∙ share

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On Using Network Science in Mining Developers Collaboration in Software Engineering: A Systematic Literature Review

The goal of this study is to identify, review, and analyze the published...
12/04/2017 ∙ by Mohammed Abufouda, et al. ∙ 0 ∙ share

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An introduction to approximate computing

Approximate computing is a research area where we investigate a wide spe...
11/12/2017 ∙ by M. Ammar Ben Khadra, et al. ∙ 0 ∙ share

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Space-Efficient Algorithms for Longest Increasing Subsequence

Given a sequence of integers, we want to find a longest increasing subse...
12/26/2017 ∙ by Masashi Kiyomi, et al. ∙ 0 ∙ share

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Learning Interesting Categorical Attributes for Refined Data Exploration

This work proposes and evaluates a novel approach to determine interesti...
11/29/2017 ∙ by Koninika Pal, et al. ∙ 0 ∙ share

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Bad Primes in Computational Algebraic Geometry

Computations over the rational numbers often suffer from intermediate co...
02/22/2017 ∙ by Janko Boehm, et al. ∙ 0 ∙ share

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On the computation of the HNF of a module over the ring of integers of a number field

We present a variation of the modular algorithm for computing the Hermit...
12/30/2016 ∙ by Jean-François Biasse, et al. ∙ 0 ∙ share

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Computing in quotients of rings of integers

We develop algorithms to turn quotients of rings of rings of integers in...
12/29/2016 ∙ by Tommy Hofmann, et al. ∙ 0 ∙ share

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E3Solver: decision tree unification by enumeration

We introduce E3Solver, a unification-based solver for programming-by-exa...
10/19/2017 ∙ by M. Ammar Ben Khadra, et al. ∙ 0 ∙ share

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Reliable Distributed Authentication in Multi-Access Mobile Edge Computing

The fifth generation (5G) mobile telecommunication network is expected t...
12/01/2017 ∙ by Bin Han, et al. ∙ 0 ∙ share

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Physical Layer Authentication for Mission Critical Machine Type Communication using Gaussian Mixture Model based Clustering

The application of Mission Critical Machine Type Communication (MC-MTC) ...
11/14/2017 ∙ by Andreas Weinand, et al. ∙ 0 ∙ share

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Application of Machine Learning for Channel based Message Authentication in Mission Critical Machine Type Communication

The design of robust wireless communication systems for industrial appli...
11/14/2017 ∙ by Andreas Weinand, et al. ∙ 0 ∙ share

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Providing Physical Layer Security for Mission Critical Machine Type Communication

The design of wireless systems for Mission Critical Machine Type Communi...
11/10/2017 ∙ by Andreas Weinand, et al. ∙ 0 ∙ share

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Munchausen Iteration

We present a method for solving polynomial equations over idempotent ome...
05/02/2016 ∙ by Roland Meyer, et al. ∙ 0 ∙ share

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Device-centric Energy Optimization for Edge Cloud Offloading

A wireless system is considered, where, computationally complex algorith...
10/30/2017 ∙ by Shreya Tayade, et al. ∙ 0 ∙ share

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ACGreGate: A Framework for Practical Access Control for Applications using Weakly Consistent Databases

Scalable and highly available systems often require data stores that off...
01/22/2018 ∙ by Mathias Weber, et al. ∙ 0 ∙ share

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Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation

We propose an efficient stochastic variational approach to GP classifica...
02/18/2018 ∙ by Florian Wenzel, et al. ∙ 0 ∙ share

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Algorithmic Differentiation for Domain Specific Languages

Algorithmic Differentiation (AD) can be used to automate the generation ...
03/12/2018 ∙ by Max Sagebaum, et al. ∙ 0 ∙ share

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An improved isomorphism test for bounded-tree-width graphs

We give a new fpt algorithm testing isomorphism of n-vertex graphs of tr...
03/19/2018 ∙ by Martin Grohe, et al. ∙ 0 ∙ share

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Recognizing Challenging Handwritten Annotations with Fully Convolutional Networks

This paper introduces a very challenging dataset of historic German docu...
04/01/2018 ∙ by Andreas Kölsch, et al. ∙ 0 ∙ share

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Approximating multiobjective combinatorial optimization problems with the OWA criterion

The paper deals with a multiobjective combinatorial optimization problem...
04/10/2018 ∙ by André Chassein, et al. ∙ 0 ∙ share

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Demystifying Deception Technology:A Survey

Deception boosts security for systems and components by denial, deceit, ...
04/17/2018 ∙ by Daniel Fraunholz, et al. ∙ 0 ∙ share

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Wireless Communication for Modular Production Facilities

The growing demand for individualized products leads to need for a more ...
04/23/2018 ∙ by Christian Schellenberger, et al. ∙ 0 ∙ share

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5G Island for Network Resilience and Autonomous Failsafe Operations

The resilience of 5G networks can be strongly challenged by central clou...
05/04/2018 ∙ by Bin Han, et al. ∙ 0 ∙ share

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Bayesian Convolutional Neural Networks

We propose a Bayesian convolutional neural network built upon Bayes by B...
06/15/2018 ∙ by Felix Laumann, et al. ∙ 0 ∙ share

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Implementation of a Near-Optimal Complex Root Clustering Algorithm

We describe Ccluster, a software for computing natural ϵ-clusters of com...
06/27/2018 ∙ by Rémi Imbach, et al. ∙ 0 ∙ share

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The Structure of Service Level Agreement of Slice-based 5G Network

Network slicing is considered to be one of the key enablers to Fifth Gen...
06/27/2018 ∙ by Mohammad Asif Habibi, et al. ∙ 0 ∙ share

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Security Solutions for Local Wireless Networks in Control Applications based on Physical Layer Security

The Design of new wireless communication systems for industrial applicat...
07/30/2018 ∙ by Andreas Weinand, et al. ∙ 0 ∙ share

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How do Convolutional Neural Networks Learn Design?

In this paper, we aim to understand the design principles in book cover ...
08/25/2018 ∙ by Shailza Jolly, et al. ∙ 0 ∙ share

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Analysis of Dynamic Memory Bandwidth Regulation in Multi-core Real-Time Systems

One of the primary sources of unpredictability in modern multi-core embe...
09/16/2018 ∙ by Ankit Agrawal, et al. ∙ 0 ∙ share

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Rational Impatience Strategy of 5G Network Tenants in Queue-Based Slice Admission Control: Shall I Wait Further for My Network Slice?

The fifth generation (5G) technologies enable an emerge type of public c...
09/18/2018 ∙ by Bin Han, et al. ∙ 0 ∙ share

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A 5G Architecture for The Factory of the Future

Factory automation and production are currently undergoing massive chang...
09/25/2018 ∙ by Stephan Ludwig, et al. ∙ 0 ∙ share

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Rational Impatience Admission Control in 5G-sliced Networks: Shall I Bide my Slice Opportunity?

Recently, the specifications of the fifth generation (5G) of mobile netw...
09/18/2018 ∙ by Bin Han, et al. ∙ 0 ∙ share

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Advanced Memory Buoyancy for Forgetful Information Systems

Knowledge workers face an ever increasing flood of information in their ...
11/17/2018 ∙ by Christian Jilek, et al. ∙ 0 ∙ share

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Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications

A growing number of applications users daily interact with have to opera...
12/05/2018 ∙ by Christian Jilek, et al. ∙ 0 ∙ share

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How practical is it? Machine Learning for Identifying Conceptual Interoperability Constraints in API Documents

Building meaningful interoperation with external software units requires...
12/05/2018 ∙ by Hadil Abukwaik, et al. ∙ 0 ∙ share

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Layer-Parallel Training of Deep Residual Neural Networks

Residual neural networks (ResNets) are a promising class of deep neural ...
12/11/2018 ∙ by S. Günther, et al. ∙ 0 ∙ share

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