
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments
With the rapidly growing expansion in the use of UAVs, the ability to au...
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On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms
The Bayesian Optimisation Algorithm (BOA) is an Estimation of Distributi...
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The Importance of Context When Recommending TV Content: Dataset and Algorithms
Home entertainment systems feature in a variety of usage scenarios with ...
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A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting
One of the beyond5G developments that is often highlighted is the integ...
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Utilizing Domain Knowledge in EndtoEnd Audio Processing
Endtoend neural network based approaches to audio modelling are genera...
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Indoor UAV scheduling with Restful Task Assignment Algorithm
Research in UAV scheduling has obtained an emerging interest from scient...
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Conditional Generative Adversarial Networks for Speech Enhancement and NoiseRobust Speaker Verification
Improving speech system performance in noisy environments remains a chal...
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Automatic Emphysema Detection using Weakly Labeled HRCT Lung Images
A method for automatically quantifying emphysema regions using HighReso...
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Distributed Computation as Hierarchy
This paper presents a new distributed computational model of distributed...
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Webbased visualisation of head pose and facial expressions changes: monitoring human activity using depth data
Despite significant recent advances in the field of head pose estimation...
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Distributed Estimation of the Operating State of a SingleBus DC MicroGrid without an External Communication Interface
We propose a decentralized Maximum Likelihood solution for estimating th...
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Variational Bayesian Inference of Line Spectra
In this paper, we address the fundamental problem of line spectral estim...
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Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple HighDimensional Data Classes
We consider the problem of jointly estimating multiple precision matrice...
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Estimating a common covariance matrix for network metaanalysis of gene expression datasets in diffuse large Bcell lymphoma
The estimation of covariance matrices of gene expressions has many appli...
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A comprehensive study of sparse codes on abnormality detection
Sparse representation has been applied successfully in abnormal event de...
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Lower Complexity Bounds for Lifted Inference
One of the big challenges in the development of probabilistic relational...
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A Fast Iterative Bayesian Inference Algorithm for Sparse Channel Estimation
In this paper, we present a Bayesian channel estimation algorithm for mu...
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Application of Bayesian Hierarchical Prior Modeling to Sparse Channel Estimation
Existing methods for sparse channel estimation typically provide an esti...
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Merging Belief Propagation and the Mean Field Approximation: A Free Energy Approach
We present a joint message passing approach that combines belief propaga...
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Sparse Estimation using Bayesian Hierarchical Prior Modeling for Real and Complex Linear Models
In sparse Bayesian learning (SBL), Gaussian scale mixtures (GSMs) have b...
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Independent screening for singleindex hazard rate models with ultrahigh dimensional features
In data sets with many more features than observations, independent scre...
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Automatic Generation of Natural Language Explanations
An important task for recommender system is to generate explanations acc...
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Incorporating PassPhrase Dependent Background Models for TextDependent Speaker Verification
In this paper, we propose passphrase dependent background models (PBMs)...
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Permutation Invariant Training of Deep Models for SpeakerIndependent Multitalker Speech Separation
We propose a novel deep learning model, which supports permutation invar...
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Analysis of Latency and MAClayer Performance for Class A LoRaWAN
We propose analytical models that allow us to investigate the performanc...
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Spatial point processes intensity estimation with a diverging number of covariates
Feature selection procedures for spatial point processes parametric inte...
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An Enhanced Access Reservation Protocol with a Partial Preamble Transmission Mechanism in NBIoT Systems
In this letter, we propose an enhanced Access Reservation Protocol (ARP)...
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SWOOP: Topk Similarity Joins over Set Streams
We provide efficient support for applications that aim to continuously f...
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Joint Separation and Denoising of Noisy Multitalker Speech using Recurrent Neural Networks and Permutation Invariant Training
In this paper we propose to use utterancelevel Permutation Invariant Tr...
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Optimized Interface Diversity for UltraReliable Low Latency Communication (URLLC)
An important ingredient of the future 5G systems will be UltraReliable ...
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Evaluation Measures for Relevance and Credibility in Ranked Lists
Recent discussions on alternative facts, fake news, and post truth polit...
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A Variational EM Method for PoleZero Modeling of Speech with Mixed Block Sparse and Gaussian Excitation
The modeling of speech can be used for speech synthesis and speech recog...
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Enabling Selfaware Smart Buildings by Augmented Reality
Conventional HVAC control systems are usually incognizant of the physica...
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Analysis of the Communication Traffic for Blockchain Synchronization of IoT Devices
Blockchain is a technology uniquely suited to support massive number of ...
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Distributed ProportionalFairness Control in MicroGrids via Blockchain Smart Contracts
Residential microgrids (MGs) may host a large number of Distributed Ener...
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Instance Scale, Numerical Properties and Design of Metaheuristics: A Study for the Facility Location Problem
Metaheuristics are known to be strong in solving largescale instances o...
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On the Distribution of Random Geometric Graphs
Random geometric graphs (RGGs) are commonly used to model networked syst...
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Generalized HARQ Protocols with Delayed Channel State Information and Average Latency Constraints
In many wireless systems, the signaltointerferenceandnoise ratio tha...
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GraphCombEx: A Software Tool for Exploration of Combinatorial Optimisation Properties of Large Graphs
We present a prototype of a software tool for exploration of multiple co...
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Monaural Speech Enhancement using Deep Neural Networks by Maximizing a ShortTime Objective Intelligibility Measure
In this paper we propose a Deep Neural Network (DNN) based Speech Enhanc...
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Supporting VR Mobile Social Networks over Wireless Cellular Systems
Immersive social interactions of mobile users are soon to be enabled wit...
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Free complete Wasserstein algebras
We present an algebraic account of the Wasserstein distances W_p on comp...
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Learning to Route with Sparse Trajectory SetsExtended Version
Motivated by the increasing availability of vehicle trajectory data, we ...
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Finding Topk Optimal Sequenced Routes  Full Version
Motivated by many practical applications in logistics and mobilityasa...
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Log Gaussian Cox processes on the sphere
We define and study the existence of log Gaussian Cox processes (LGCPs) ...
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A Modeling Framework for Schedulability Analysis of Distributed Avionics Systems
This paper presents a modeling framework for schedulability analysis of ...
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Minimizing Latency to Support VR Social Interactions over Wireless Cellular Systems via Bandwidth Allocation
Immersive social interactions of mobile users are soon to be enabled wit...
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Sparse Signal Processing for GrantFree Massive IoT Connectivity
The next wave of wireless technologies will proliferate in connecting se...
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Stationarity in the Realizations of the Causal RateDistortion Function for OneSided Stationary Sources
This paper derives novel results on the characterization of the the caus...
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5G Wireless Network Slicing for eMBB, URLLC, and mMTC: A CommunicationTheoretic View
The grand objective of 5G wireless technology is to support services wit...
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Aalborg University
Aalborg University is a Danish public university with campuses in Aalborg, Esbjerg, and Copenhagen founded in 1974.