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Evolutionary multiobjective optimization (EMO) algorithms have often been used to search for a number of non-dominated fuzzy rule-based classifiers with respect to their accuracy and complexity. It is, however, pointed out in some studies that the entire accuracy-complexity tradeoff surface is not always found by well-known and frequently-used EMO algorithms such as NSGA-II. Especially it is very...
Fuzzy pattern tree induction has recently been introduced as a novel classification method in the context of machine learning. Roughly speaking, a pattern tree is a hierarchical, tree-like structure, whose inner nodes are marked with generalized (fuzzy) logical operators and whose leaf nodes are associated with fuzzy predicates on input attributes. In this paper, we adapt the method of pattern tree...
In this paper, we present a scheme of steganalysis of JPEG images with the use of polynomial fitting and computational intelligence techniques. Based on the Generalized Gaussian Distribution (GGD) model in the quantized DCT coefficients, the errors between the logarithmic domain of the histogram of the DCT coefficients and the polynomial fitting are extracted as features to detect the adulterated...
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