Estimating the Probability Density Function of New Fabrics for Fabric Anomaly Detection Article Swipe

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Oliver Rippel , Maximilian J. Müller , Andreas Münkel , Thomas Gries , Dorit Merhof ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.5220/0010163604630470

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Anomaly Detection

Computer Science

Artificial Intelligence

Mathematics

Statistics

Physics

Condensed Matter Physics

Evolutionary Biology

Biology

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Probability density function Anomaly detection Anomaly (physics) Function (biology) Computer science Artificial intelligence Pattern recognition (psychology) Mathematics Statistics Physics Condensed matter physics Evolutionary biology Biology

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Type: article
Language: en
Landing Page: https://doi.org/10.5220/0010163604630470
OA Status: gold
Cited By: 4
Related Works: 10
OpenAlex ID: https://openalex.org/W3126517905

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DOI: https://doi.org/10.5220/0010163604630470

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Title: Estimating the Probability Density Function of New Fabrics for Fabric Anomaly Detection

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Type: article

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Language: en

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Publication year: 2021

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Publication date: 2021-01-01

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Authors: Oliver Rippel, Maximilian J. Müller, Andreas Münkel, Thomas Gries, Dorit Merhof

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Landing page: https://doi.org/10.5220/0010163604630470

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Concepts: Probability density function, Anomaly detection, Anomaly (physics), Function (biology), Computer science, Artificial intelligence, Pattern recognition (psychology), Mathematics, Statistics, Physics, Condensed matter physics, Evolutionary biology, Biology

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Cited by: 4

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Citations by year (recent): 2023: 1, 2022: 2, 2021: 1

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