A statistical approach to combining multisource information in one‐class classifiers-Reference-Cited by-同舟云学术

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A statistical approach to combining multisource information in one‐class classifiers

Published:2017-06-08 Issue:4 Volume:10 Page:199-210
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal

Author:

Simonson Katherine M.¹^ORCID,Derek West R.¹,Hansen Ross L.¹,LaBruyere Thomas E.¹,Van Benthem Mark H.¹

Affiliation:

1. Sandia National Laboratories Albuquerque New Mexico

Funder

Laboratory Directed Research and Development

Sandia National Laboratories

Lockheed Martin

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11342

Reference54 articles.

1. One-class classification based authentication of peanut oils by fatty acid profiles

2. Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors

3. Anomaly detection in extremely crowded scenes using spatio‐temporal motion pattern models;Kratz L.;Proc. IEEE Comput. Vis. Pattern Recognit.,2009

4. A Review of Anomaly based Intrusion Detection Systems

5. Growing a multi-class classifier with a reject option

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