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- W2524155832 abstract "In this paper we consider the problem of feature extraction, as an essential and important search of dataset. This problem describe the real ownership of the signals and images. Searches features are often difficult to identify because of data complexity and their redundancy. Here is shown a method of finding an essential features groups, according to the defined issues. To find the hidden attributes we use a special algorithm DQAL with the quantum density for thej-th features from original data, that indicates the important set of attributes. Finally, they have been generated small sets of attributes for subsets with different properties of features. They can be used to the construction of a small set of essential features. All figures were made in Matlab6." @default.
- W2524155832 created "2016-10-07" @default.
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- W2524155832 date "2016-09-28" @default.
- W2524155832 modified "2023-09-23" @default.
- W2524155832 title "Extraction of essential features by quantum density" @default.
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- W2524155832 doi "https://doi.org/10.1117/12.2249406" @default.
- W2524155832 hasPublicationYear "2016" @default.
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