Output details
11 - Computer Science and Informatics
Bangor University
Article title
Change Detection in Streaming Multivariate Data Using Likelihood Detectors
Type
D - Journal article
Title of journal
IEEE Transactions on Knowledge and Data Engineering
Article number
-
Volume number
25
Issue number
5
First page of article
1175
ISSN of journal
1041-4347
Year of publication
2013
URL
-
Number of additional authors
0
Additional information
<24>The current change detection methods for multidimensional streaming data are computationally demanding and prone to overtraining. The simpler methods, including the Hotelling test, are fast but insufficiently accurate. This paper proposes a compromise which builds upon the advantages of the two groups. Collaboration with CVC, Barcelona, Spain, is planned where intestinal video segmentation will be approached using the proposed change detection method.
Contact: Prof Petia Radeva petia@cvc.uab.es
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
