Work

An approach to spacecraft anomaly detection problem using kernel feature space

Year: 2005

Type: conference-paper

Source: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI: 10.1145/1081870.1081917

Authors: Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida

Institution: The University of Tokyo

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Japan Aerospace Exploration Agency

OpenAlex ID: W2091319256

FWCI: 1.501

Cites: 19

Cited by: 235

Related to: 10