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- W1865064010 abstract "A novel, two stage, neural architecture for the segmentation of range data and their modeling with undeformed superquadrics is presented. The system is composed by two distinct neural networks: a SOM is used to perform data segmentation, and, for each segment, a multilayer feed-forward network performs model estimation." @default.
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- W1865064010 date "2002-01-01" @default.
- W1865064010 modified "2023-09-25" @default.
- W1865064010 title "A Two Stage Neural Architecture for Segmentation and Superquadrics Recovery from Range Data" @default.
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- W1865064010 doi "https://doi.org/10.1007/3-540-45808-5_14" @default.
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