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Similarity searching is a very useful task in several disciplines such as pattern recognition, machine learning, and decision theory. To solve this task we can use an index to speed up the searching. Among the current indices, the permutant based searching approach has proved its efficiency for high-dimensional data before, however up to now this approach had not been adapted to work with low-dimensional...
Universum, a set of examples that do not belong to any class of interest for a classification problem, has been playing an important role in improving the performance of many machine learning methods. Since Universum examples are not required to have the same distribution as the training data, they can contain prior information for the possible classifiers. In this paper, we propose a novel distance...
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