
Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks
A wide range of techniques can be considered for segmentation of images ...
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Online Representation Learning with Multilayer Hebbian Networks for Image Classification Tasks
Unsupervised learning permits the development of algorithms that are abl...
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Shortterm plasticity as causeeffect hypothesis testing in distal reward learning
Asynchrony, overlaps and delays in sensorymotor signals introduce ambig...
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A Fuzzy Directional Distance Measure
The measure of distance between two fuzzy sets is a fundamental tool wit...
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Bayesian Learning of Random Graphs & Correlation Structure of Multivariate Data, with Distance between Graphs
We present a method for the simultaneous Bayesian learning of the correl...
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Content Placement in CacheEnabled Sub6 GHz and MillimeterWave Multiantenna Dense Small Cell Networks
This paper studies the performance of cacheenabled dense small cell net...
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Selfhealing Routing and Other Problems in Compact Memory
This paper looks at the question of designing distributed algorithms for...
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Deep Bayesian Supervised Learning given Hypercuboidallyshaped, Discontinuous Data, using Compound TensorVariate & ScalarVariate Gaussian Processes
We undertake learning of the highdimensional functional relationship be...
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Alignmentfree sequence comparison using absent words
Sequence comparison is a prerequisite to virtually all comparative genom...
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A Fully Convolutional TwoStream Fusion Network for Interactive Image Segmentation
In this paper, we propose a novel fully convolutional twostream fusion ...
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Learning in the Absence of Training Data  a Galactic Application
There are multiple realworld problems in which training data is unavail...
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A Deep Learning Framework for Optimization of MISO Downlink Beamforming
Beamforming is an effective means to improve the quality of the received...
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Graph and String Parameters: Connections Between Pathwidth, Cutwidth and the Locality Number
We investigate the locality number, a recently introduced structural par...
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Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture
This paper introduces the modulated Hebbian plus Q network architecture ...
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Approximate policy iteration using neural networks for storage problems
We consider the stochastic single node energy storage problem (SNES) and...
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Specific Absorption RateAware Beamforming in MISO Downlink SWIPT Systems
This paper investigates the optimal transmit beamforming design of simul...
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Deep Learning Enabled Optimization of Downlink Beamforming Under PerAntenna Power Constraints: Algorithms and Experimental Demonstration
This paper studies fast downlink beamforming algorithms using deep learn...
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Scalar Product Lattice Computation for Efficient Privacypreserving Systems
Privacypreserving applications allow users to perform online daily act...
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Signature features with the visibility transformation
The signature in rough path theory provides a graduated summary of a pat...
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Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
Rapid online adaptation to changing tasks is an important problem in mac...
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Intelligent User Clustering and Robust Beamforming Design for UAVNOMA Downlink
In this work, we consider a downlink NOMA network with multiple singlea...
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Loughborough University
22861 Loughborough University is a public research university in the market town of Loughborough, Leicestershire, in the East Midlands of England.