Abstract | ||
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•Alpha integration encompasses many classic fusion operators.•This paper proposes vector score integration (VSI), a new alpha integration method.•The parameters of VSI are optimized to achieve the minimum probability of error.•VSI was applied to two classification tasks using electroencephalographic signals.•VSI outperformed other fusion methods in both applications. |
Year | DOI | Venue |
---|---|---|
2020 | 10.1016/j.patrec.2020.05.014 | Pattern Recognition Letters |
DocType | Volume | ISSN |
Journal | 136 | 0167-8655 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gonzalo Safont | 1 | 54 | 12.55 |
Addisson Salazar | 2 | 121 | 23.46 |
L. Vergara | 3 | 68 | 18.45 |