DocumentCode
1116619
Title
Pattern Recognition via Observation Correlations
Author
Bogner, Robert E.
Author_Institution
Department of Electrical Engineering, University of Adelaide, Adelaide, Australia.
Issue
2
fYear
1981
fDate
3/1/1981 12:00:00 AM
Firstpage
128
Lastpage
133
Abstract
In some pattern recognition tasks multiple observations of an observation vector Y = {Y1, Y2, ..., YM} are available for each object and the covariances of the Yi are characteristic of the object. With the assistance of a model of the generating process for Y a theoretical basis for the comparison of the covariance matrices is developed. Measurements based on synthetic data support the theory, and an application to some speaker verification is given as an example.
Keywords
Acoustic testing; Area measurement; Covariance matrix; Displays; Eigenvalues and eigenfunctions; Mechanical factors; Particle measurements; Pattern recognition; Tongue; Visualization; Covariance matrices; distance measures; eigenvector modules; orthogonal components; pattern recognition; spectral covariances; talker identification; talker verification;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.1981.4767070
Filename
4767070
Link To Document