Name
Abstract | ||
|---|---|---|
•A novel unsupervised method to combine the retrieval results from various features.•The method exploits a graph-based representation for a selective rank fusion.•Both correlation and effectiveness estimations are used to construct the graph.•Experimental evaluation involving various public datasets and several features.•High-effective results achieved in comparison with baselines and state-of-the-art. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2020.03.032 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Content-based image retrieval,Unsupervised late fusion,Rank-aggregation,Correlation measure,Effectiveness estimation | Journal | 135 |
ISSN | Citations | PageRank |
0167-8655 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lucas Pascotti Valem | 1 | 7 | 5.80 |
| Daniel Carlos Guimarães Pedronette | 2 | 304 | 25.47 |