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A Survey and Implementation of Performance Metrics for Self-Organized Maps
FlorentForest, MustaphaLebbah, HananeAzzag....
Published date-11/11/2020
Clustering, ModelSelection, Self-OrganizedClustering
Self-Organizing Map algorithms have been used for almost 40 years across various application domains such as biology, geology, healthcare, industry and humanities as an interpretable tool to explore, cluster and …
Finding Relevant Flood Images on Twitter using Content-based Filters
BjörnBarz, KaiSchröter, Ann-ChristinKra....
Published date-11/11/2020
The analysis of natural disasters such as floods in a timely manner often suffers from limited data due to coarsely distributed sensors or sensor failures. At the same time, a …
Multi-Label Classification Using Link Prediction
SeyedAminFadaee, MaryamAmirHaeri....
Published date-11/11/2020
LinkPrediction, Multi-LabelClassification
Solving classification with graph methods has gained huge popularity in recent years. This is due to the fact that the data can be intuitively modeled with graphs to utilize high …
A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-Structures
YingtaoLuo, XueFengZhu....
Published date-11/11/2020
ProbabilisticDeepLearning
In quantum mechanics, a norm squared wave function can be interpreted as the probability density that describes the likelihood of a particle to be measured in a given position or …
Rediscovering alignment relations with Graph Convolutional Networks
PierreMonnin, ChedyRaïssi, AmedeoNapoli....
Published date-11/11/2020
Clustering, KnowledgeGraphs
Knowledge graphs are concurrently published and edited in the Web of data. Hence they may overlap, which makes key the task that consists in matching their content. This task encompasses …
Zero-Pair Image to Image Translation using Domain Conditional Normalization
SamarthShukla, AndrésRomero, LucvanGool....
Published date-11/11/2020
Image-to-ImageTranslation
In this paper, we propose an approach based on domain conditional normalization (DCN) for zero-pair image-to-image translation, i.e., translating between two domains which have no paired training data available but …