TimeCLR: A self-supervised contrastive learning framework for univariate time series representation
Xinyu Yang, Zhenguo Zhang, Rongyi Cui
Topics & Concepts
Computer scienceArtificial intelligenceUnivariateClassifier (UML)Time seriesFeature learningPattern recognition (psychology)Machine learningFeature (linguistics)ExtractorField (mathematics)Feature extractionRepresentation (politics)Deep learningData miningMultivariate statisticsMathematicsPure mathematicsPolitical scienceLinguisticsEngineeringPoliticsProcess engineeringPhilosophyLawTime Series Analysis and ForecastingMusic and Audio ProcessingAnomaly Detection Techniques and Applications