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An underwater target classifier can be trained only with the available limited instances of different ship and submarine emanations but in complex real world conditions, the classifier may encounter corrupted versions of the trained instances as well as novel occurrences such as targets belonging to an entirely different class. Most of the state-of-the art underwater target classifiers assign observed...
Interpretation of aerial images is an important task in various military and non-military applications. Image segmentation can be viewed as the essential step of extracting features in aerial images. Among many developed segmentation methods, the clustering methods have been extensively investigated and used. The determination of the number of clusters in a dataset is inherently a difficult problem,...
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