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- W2096987172 abstract "An automatic method of clustering and identifying stochastic textures by means of self-organizing maps is presented. The idea is to utilize co-occurrence matrices at different resolution levels and to let the self-organizing process take care of the clustering problem. The labeling is done by identifying the known samples on the map. The unknown samples can be classified by the nearest-neighbor method. The procedure has been tested with natural textures. The results obtained have been promising. >" @default.
- W2096987172 created "2016-06-24" @default.
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- W2096987172 date "2002-12-04" @default.
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- W2096987172 title "Identification of stochastic textures with multiresolution features and self-organizing maps" @default.
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- W2096987172 doi "https://doi.org/10.1109/icpr.1990.118157" @default.
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