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Mar 14, 2019
By jan
Machine Learning
Artificial Intelligence

Deep Reinforcement Learning with Feedback-based Exploration

Deep Reinforcement Learning has enabled the control of increasingly complex and high-dimensional problems. However, the need of vast amounts of dat...
Mar 14, 2019
Computer Vision

Looking for the Devil in the Details: Learning Trilinear Attention ...

Learning subtle yet discriminative features (e.g., beak and eyes for a bird) plays a significant role in fine-grained image recognition. Existing a...
Mar 14, 2019
By wangyue
Robotics

Spatiotemporal Decoupling Based LiDAR-Camera Calibration under Arbi...

LiDAR-camera calibration is a precondition for many heterogeneous systems that fuse data from LiDAR and camera. However, the constraint from the co...
Mar 14, 2019
By amin
Mesoscale and Nanoscale Physics
Superconductivity

Demonstration of nonstoquastic Hamiltonian in coupled superconducti...

Quantum annealing (QA) is a heuristic algorithm for finding low-energy configurations of a system, with applications in optimization, machine learn...
Mar 14, 2019
Neural and Evolutionary Computation

Water Distribution System Design Using Multi-Objective Particle Swa...

Application of the multi-objective particle swarm optimisation (MOPSO) algorithm to design of water distribution systems is described. An earlier M...
Mar 14, 2019
By s.zini1
Computer Vision

Deep Residual Autoencoder for quality independent JPEG restoration

In this paper we propose a deep residual autoencoder exploiting Residual-in-Residual Dense Blocks (RRDB) to remove artifacts in JPEG compressed ima...
Mar 14, 2019
Robotics

Nuclear Environments Inspection with Micro Aerial Vehicles: Algorit...

In this work, we address the estimation, planning, control and mapping problems to allow a small quadrotor to autonomously inspect the interior of ...
Mar 14, 2019
Robotics

Multi-Robot Routing for Persistent Monitoring with Latency Constraints

In this paper we study a multi-robot path planning problem for persistent monitoring of an environment. We represent the areas to be monitored as t...
Mar 14, 2019
By bayat
Information Theory

Routing-Based Delivery in Combination-Type Networks with Random Top...

The coded caching scheme proposed by Maddah-Ali and Niesen (MAN) transmits coded multicast messages to users equipped with caches and it is known t...
Mar 14, 2019
Cryptography and Security

Analysis of Privacy Policies to Enhance Informed Consent

In this report, we present an approach to enhance informed consent for the processing of personal data. The approach relies on a privacy policy lan...
Mar 14, 2019
Machine Learning

Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for...

The well-known Gumbel-Max trick for sampling from a categorical distribution can be extended to sample $k$ elements without replacement. We show ho...
Mar 14, 2019
Information Theory

Robust Matrix Completion via Maximum Correntropy Criterion and Half...

Robust matrix completion aims to recover a low-rank matrix from a subset of noisy entries perturbed by complex noises, where traditional methods fo...
Mar 14, 2019
Computer Vision
Machine Learning

MSG-GAN: Multi-Scale Gradients GAN for more stable and synchronized...

Generative Adversarial Network (GAN) which is widely used for Image synthesis via generative modelling suffers peculiarly from training instability...
Mar 14, 2019
Machine Learning
Artificial Intelligence
Human-Computer Interaction

Inferring Personalized Bayesian Embeddings for Learning from Hete...

For assistive robots and virtual agents to achieve ubiquity, machines will need to anticipate the needs of their human counterparts. The field of L...
Mar 14, 2019
Software Engineering
Computers and Society

The results of the study indicate that the Software Sustainability Institute’s view that sustainable software ‘will be available—and continue to be improved and supported—in the future’ is, understood by developers, and considered to be meaningful...

What Makes Research Software Sustainable? An Interview Study With ...

Software is now a vital scientific instrument, providing the tools for data collection and analysis across disciplines from bioinformatics and comp...
Mar 14, 2019
Machine Learning
Methodology

Deep Distribution Regression

Due to their flexibility and predictive performance, machine-learning based regression methods have become an important tool for predictive modelin...
Mar 14, 2019
Systems and Control
Multiagent Systems

Coordinated behavior in network systems has been a popular subject of research in many fields, such as physics [Bressloff1999], chemistry [Kiss2002], social sciences [DeGroot1974], and biology [Winfree1967]. Within engineering, coordination is ess...

Dynamics Concentration of Large-Scale Tightly-Connected Networks

The ability to achieve coordinated behavior -- engineered or emergent -- on networked systems has attracted widespread interest over several fields...
Mar 14, 2019
Computer Vision

Superpixel-based Color Transfer

In this work, we propose a fast superpixel-based color transfer method (SCT) between two images. Superpixels enable to decrease the image dimension...
Mar 14, 2019
By sato
Image and Video Processing
Machine Learning

Theorems 1 and 2 mean that when we calculate the difference of two objects by using the L2 norm of ghost features, the distance is preserved in terms of the Frobenius norm. This is important for a learning algorithm, such as support vector machine...

On Learning from Ghost Imaging without Imaging

Computational ghost imaging is an imaging technique with which an object is imaged from light collected using a single-pixel detector with no spati...
Mar 14, 2019
By kmulrey

Calibration of the LOFAR low-band antennas using the Galaxy and a m...

The LOw-Frequency ARray (LOFAR) is used to make precise measurements of radio emission from extensive air showers, yielding information about the p...
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