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A Fast Cluster-Assumption Based Active-Learning Technique for Classification of Remote Sensing Images

โœ Scribed by Patra, S.; Bruzzone, L.


Book ID
114626806
Publisher
IEEE
Year
2011
Tongue
English
Weight
318 KB
Volume
49
Category
Article
ISSN
0196-2892

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Because of the difficulty of obtaining an analytic expression for Bayes error, a wide variety of separability measures has been proposed for feature selection. In this paper, we show that there is a general framework based on the criterion of mutual information (MI) that can provide a realistic solu