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- Title
SimRank similarity preserving projection for shape-based 3D model auto-annotation.
- Authors
Tatsuma, Atsushi; Aono, Masaki
- Abstract
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.
- Subjects
SEMANTIC computing; VECTOR spaces; THREE-dimensional display systems; ISOMETRIC projection; BIPARTITE graphs
- Publication
IEEJ Transactions on Electrical & Electronic Engineering, 2018, Vol 13, Issue 2, p341
- ISSN
1931-4973
- Publication type
Article
- DOI
10.1002/tee.22532