Matches in SemOpenAlex for { <https://semopenalex.org/work/W2344170986> ?p ?o ?g. }
- W2344170986 abstract "In this paper, we initiate a theoretical study on ${N}$ -expert fusion ( ${N}~boldsymbol {geq }~2$ ) in the context of biometric authentication (BA). Optimal fusion weights, which depend on performances and variances of, and correlations among individual base-experts have been found, and we also give and prove some new theorems that serve as the basis for analyzing the performance of the overall system. Our conclusion is that provided that optimal weights are used as fusion coefficients, linear fusion will definitely lead to a better performance than the best individual expert. This contradicts many existing conclusions, which assert that fusion is not always beneficial and that performance improvement due to fusion is guaranteed only when some conditions as to base-experts’ performances, variances, and correlations are satisfied. Besides, for the first time the definition of correlation in the context of BA is clearly and explicitly given to avoid the long-standing ambiguity and vagueness concerning this term, and we make an initial attempt to propose and investigate three types of correlation coefficients. Furthermore, the connection between our proposed optimal fusion method and Fisher’s discriminant is discussed. Extensive experiments have been conducted to confirm our theoretical results and construct counter-examples for the existing conclusions." @default.
- W2344170986 created "2016-06-24" @default.
- W2344170986 creator A5049177850 @default.
- W2344170986 creator A5059479627 @default.
- W2344170986 creator A5075574394 @default.
- W2344170986 creator A5076013115 @default.
- W2344170986 date "2015-01-01" @default.
- W2344170986 modified "2023-09-24" @default.
- W2344170986 title "A Study on Performance Improvement Due to Linear Fusion in Biometric Authentication Tasks" @default.
- W2344170986 cites W102193237 @default.
- W2344170986 cites W108214665 @default.
- W2344170986 cites W1502189209 @default.
- W2344170986 cites W1520896475 @default.
- W2344170986 cites W1604724158 @default.
- W2344170986 cites W1646021195 @default.
- W2344170986 cites W1770825568 @default.
- W2344170986 cites W1875838895 @default.
- W2344170986 cites W1963545103 @default.
- W2344170986 cites W2018006179 @default.
- W2344170986 cites W2018675859 @default.
- W2344170986 cites W2024677982 @default.
- W2344170986 cites W2039630661 @default.
- W2344170986 cites W2042106922 @default.
- W2344170986 cites W2052713505 @default.
- W2344170986 cites W2061272711 @default.
- W2344170986 cites W206704169 @default.
- W2344170986 cites W2071464867 @default.
- W2344170986 cites W2078953162 @default.
- W2344170986 cites W2082373110 @default.
- W2344170986 cites W2087484772 @default.
- W2344170986 cites W2095920931 @default.
- W2344170986 cites W2098126059 @default.
- W2344170986 cites W2100015861 @default.
- W2344170986 cites W2119970915 @default.
- W2344170986 cites W2120433720 @default.
- W2344170986 cites W2125256017 @default.
- W2344170986 cites W2127864752 @default.
- W2344170986 cites W2133197980 @default.
- W2344170986 cites W2136461127 @default.
- W2344170986 cites W2136885397 @default.
- W2344170986 cites W2140275904 @default.
- W2344170986 cites W2140941142 @default.
- W2344170986 cites W2146824864 @default.
- W2344170986 cites W2148660279 @default.
- W2344170986 cites W2148680321 @default.
- W2344170986 cites W2150796457 @default.
- W2344170986 cites W2158275940 @default.
- W2344170986 cites W2169513470 @default.
- W2344170986 cites W2264845439 @default.
- W2344170986 cites W2325605367 @default.
- W2344170986 cites W2337287328 @default.
- W2344170986 cites W2490257335 @default.
- W2344170986 cites W84351754 @default.
- W2344170986 cites W851205321 @default.
- W2344170986 doi "https://doi.org/10.1109/tsmc.2015.2501279" @default.
- W2344170986 hasPublicationYear "2015" @default.
- W2344170986 type Work @default.
- W2344170986 sameAs 2344170986 @default.
- W2344170986 citedByCount "1" @default.
- W2344170986 countsByYear W23441709862017 @default.
- W2344170986 crossrefType "journal-article" @default.
- W2344170986 hasAuthorship W2344170986A5049177850 @default.
- W2344170986 hasAuthorship W2344170986A5059479627 @default.
- W2344170986 hasAuthorship W2344170986A5075574394 @default.
- W2344170986 hasAuthorship W2344170986A5076013115 @default.
- W2344170986 hasConcept C103038307 @default.
- W2344170986 hasConcept C115961682 @default.
- W2344170986 hasConcept C124101348 @default.
- W2344170986 hasConcept C134306372 @default.
- W2344170986 hasConcept C138885662 @default.
- W2344170986 hasConcept C148417208 @default.
- W2344170986 hasConcept C151730666 @default.
- W2344170986 hasConcept C153180895 @default.
- W2344170986 hasConcept C154945302 @default.
- W2344170986 hasConcept C158525013 @default.
- W2344170986 hasConcept C173414695 @default.
- W2344170986 hasConcept C184297639 @default.
- W2344170986 hasConcept C199360897 @default.
- W2344170986 hasConcept C2776825360 @default.
- W2344170986 hasConcept C2778971668 @default.
- W2344170986 hasConcept C2779343474 @default.
- W2344170986 hasConcept C2780522230 @default.
- W2344170986 hasConcept C2780801425 @default.
- W2344170986 hasConcept C33923547 @default.
- W2344170986 hasConcept C33954974 @default.
- W2344170986 hasConcept C38652104 @default.
- W2344170986 hasConcept C41008148 @default.
- W2344170986 hasConcept C41895202 @default.
- W2344170986 hasConcept C42058472 @default.
- W2344170986 hasConcept C58166 @default.
- W2344170986 hasConcept C69744172 @default.
- W2344170986 hasConcept C86803240 @default.
- W2344170986 hasConceptScore W2344170986C103038307 @default.
- W2344170986 hasConceptScore W2344170986C115961682 @default.
- W2344170986 hasConceptScore W2344170986C124101348 @default.
- W2344170986 hasConceptScore W2344170986C134306372 @default.
- W2344170986 hasConceptScore W2344170986C138885662 @default.
- W2344170986 hasConceptScore W2344170986C148417208 @default.
- W2344170986 hasConceptScore W2344170986C151730666 @default.
- W2344170986 hasConceptScore W2344170986C153180895 @default.