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- W1974034264 abstract "Motion capture data exhibits its complexity both spatially and temporally, which makes it a hard work to measure the similarities between human motions. We propose a motion data indexing and retrieval method based on self-organizing map and symbolic aggregate approximation. And the hierarchical clustering method is implemented, which can discover the relationships between different motion types by a binary tree structure. Then the motion motifs of each cluster are extracted for the retrieval of example-based query. The experiment results show the performance of our approach." @default.
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- W1974034264 date "2012-05-01" @default.
- W1974034264 modified "2023-09-26" @default.
- W1974034264 title "Human motion retrieval with symbolic aggregate approXimation" @default.
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- W1974034264 doi "https://doi.org/10.1109/ccdc.2012.6244581" @default.
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