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Tatsuma, Atsushi; Aono, Masaki
IEEJ transactions on electrical and electronic engineering, February 2018, 2018-02-00, 20180201, Letnik: 13, Številka: 2Journal Article
We present a new dimensionality reduction method, called SimRank similarity preserving projection (SSPP), that finds a subspace preserving semantic similarity among data represented with SimRank similarity on a bipartite graph. The relationship between 3D models and keywords in a tagged 3D model dataset is represented with bipartite graph. For shape‐based 3D model auto‐annotation, we try to capture the relationship of tagged 3D models by SSPP. Experimental results show that our method outperforms the baseline and previous methods.
