Linear flaw detection in woven textiles using model-based clustering

Author:

Campbell J.G,Fraley C,Murtagh F,Raftery A.E

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference12 articles.

1. Model-based cluster analysis;Banerjee;Pattern Recognition,1993

2. Model-based Gaussian and non-Gaussian clustering;Banfield;Biometrics,1993

3. Campbell, J.G., Hashim, A.A., McGinnity, T.M., Lunney, T.F., 1995. Flaw detection in woven textiles by neural network. In: Keating, J.G. (Ed.), Neural Computing: Research and Applications III, Proc. 5th Irish Neural Network Conference, St. Patrick's College, Maynooth.

4. Dasgupta, A., Raftery, A.E., 1995. Detecting features in spatial point processes with clutter via model-based clustering. Technical Report 295, Statistics Department, University of Washington (available at http://www.stat.washington.edu/tech.reports/tr295.ps).

5. Maximum likelihood from incomplete data via the EM algorithm;Dempster;J. Roy. Statist. Soc. Ser. B,1977

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