"This thesis is on a research problem to identify and classify Gaussian processes. It started with the detection of landmines and moved onto a generalization of the classification problem. The main part of the thesis deals with dimensionality reduction of the large dimension AR spectrums obtained for the landmines. It was demonstrated by earlier research work that many of the algorithms that work well for small dimension feature vectors are unable to duplicate the same classification results for the large dimension vectors. The algorithms for reduction of the feature vector dimension studied here are the Fisher's linear discriminant analysis and the Fisher's multiple discriminant analysis"--Abstract, page iii.
Stuller, John A.
Cunningham, David R.
Dagli, Cihan H., 1949-
Electrical and Computer Engineering
M.S. in Electrical Engineering
University of Missouri--Rolla
ix, 60 pages
© 2000 Akshaya Shankar Puranik, All rights reserved.
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Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu/record=b4414633~S5
Puranik, Akshaya Shankar, "A study of classification techniques with applications in landmine detection" (2000). Masters Theses. 1898.
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