OpenAlex | Conditioning Latent-Space Clusters for Real-World Anomaly Classification

Conditioning Latent-Space Clusters for Real-World Anomaly Classification

Work

Year: 2023

Type: article

Source: 2021 IEEE Symposium Series on Computational Intelligence (SSCI)

Authors Daniel Bogdoll, Svetlana Pavlitska, Simon Klaus, J. Marius Zöllner

Institutions FZI Research Center for Information Technology, Karlsruhe Institute of Technology

Cites: 45

Cited by:

Related to: 10

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Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Sustainable Development Goal Sustainable cities and communities

Open Access status: closed