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The Separability and Thresholds (SEaTH) algorithm calculates the the SEparability and the corresponding THresholds of object classes for any number of given features. However, it is applicable only to the normally distributed training data. To cope with the problem, The Classification And Regression Tree (CART) coupled with SEaTH for object-based classification approach is proposed in the paper. The...
Sparse representation based optimization has emerged as a new paradigm for solving classification problems and has achieved satisfactory performances. Recent research, however, has revealed its noteworthy limitation in handling samples with high intra-class pair-wise correlations. In this paper, we study this problem from a novel perspective of de-correlating the input data. A new method is proposed...
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