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- W1640169259 abstract "A large family of shape comparison methods is based on a medial axis transform combined with an encoding of the skeleton by a graph. Despite many qualities this encoding of shapes suffers from the non continuity of the medial axis transform. In this paper, we propose to integrate robustness against structural noise inside a graph kernel. This robustness is based on a selection of the paths according to their relevance and on path editions. This kernel is positive semi-definite and several experiments prove the efficiency of our approach compared to alternative kernels." @default.
- W1640169259 created "2016-06-24" @default.
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- W1640169259 date "2009-01-01" @default.
- W1640169259 modified "2023-10-04" @default.
- W1640169259 title "Edition within a Graph Kernel Framework for Shape Recognition" @default.
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- W1640169259 doi "https://doi.org/10.1007/978-3-642-02124-4_2" @default.
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