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- W1778133086 abstract "This paper presents a simple learning algorithm for growing self-organization maps (ab. SOMs) and considers its application to the skeletonization. In order to adapt the shape of the input data, the map can have partial tree and loop topology. In the algorithm, the map can grow and the topology can change based on occasional inspection of learning history of each cell and MST. If the control parameters are selected suitable, the algorithm can be applied effectively for skeletonization of Japanese characters." @default.
- W1778133086 created "2016-06-24" @default.
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- W1778133086 date "2004-01-23" @default.
- W1778133086 modified "2023-09-24" @default.
- W1778133086 title "A simple learning algorithm for growing self-organizing maps and its application to the skeletonization" @default.
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- W1778133086 doi "https://doi.org/10.1109/ijcnn.2003.1223482" @default.
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