Abstract | ||
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•A novel unsupervised manifold learning algorithm based on the BFS- Tree of Ranking References.•The structure of the tree is exploited to discovery underlying similarity relationships.•Based on the discovered relationships, a more effective similarity measure is computed.•Several experiments considering various datasets, features and comparison with state-of-the-art methods. |
Year | DOI | Venue |
---|---|---|
2021 | 10.1016/j.patcog.2020.107666 | Pattern Recognition |
Keywords | DocType | Volume |
Content-based image retrieval,Unsupervised manifold learning,Tree representation,Ranking references | Journal | 111 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Daniel Carlos Guimarães Pedronette | 1 | 304 | 25.47 |
Lucas Pascotti Valem | 2 | 7 | 5.80 |
Ricardo da Silva Torres | 3 | 787 | 61.46 |