Matches in SemOpenAlex for { <https://semopenalex.org/work/W2358256952> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2358256952 abstract "For the issue that traditional Fisher linear discriminative analysis algorithm could not extract features due to its scattering matrix within class is zero in face recognition with single training sample per person,a face recognition algorithm based on FLDA improved by adaptive generic learning framework is proposed. Firstly,a suitable generic training sample set is selected and its scattering matrix within class and mean vectors are computed.Then,scattering matrix within-class and between classes are predicted by bilinear representation algorithm,which has settled the problem of its scattering matrix within class is zero. Finally,FLDA is used to extract features and nearest neighbour classifier is used to finish face recognition. The effectiveness of proposed algorithm is verified by experiments on the two common databases Yale and FERET. Experimental results show that proposed algorithm has better recognition efficiency than several advanced single training sample face recognition algorithms." @default.
- W2358256952 created "2016-06-24" @default.
- W2358256952 creator A5065264530 @default.
- W2358256952 date "2014-01-01" @default.
- W2358256952 modified "2023-09-26" @default.
- W2358256952 title "FLDA Improved by Adaptive Generic Learning Framework for Face Recognition" @default.
- W2358256952 hasPublicationYear "2014" @default.
- W2358256952 type Work @default.
- W2358256952 sameAs 2358256952 @default.
- W2358256952 citedByCount "0" @default.
- W2358256952 crossrefType "journal-article" @default.
- W2358256952 hasAuthorship W2358256952A5065264530 @default.
- W2358256952 hasConcept C106487976 @default.
- W2358256952 hasConcept C11413529 @default.
- W2358256952 hasConcept C119857082 @default.
- W2358256952 hasConcept C144024400 @default.
- W2358256952 hasConcept C153180895 @default.
- W2358256952 hasConcept C154945302 @default.
- W2358256952 hasConcept C159985019 @default.
- W2358256952 hasConcept C176917957 @default.
- W2358256952 hasConcept C180877172 @default.
- W2358256952 hasConcept C185142706 @default.
- W2358256952 hasConcept C192562407 @default.
- W2358256952 hasConcept C205203396 @default.
- W2358256952 hasConcept C2777212361 @default.
- W2358256952 hasConcept C2779304628 @default.
- W2358256952 hasConcept C31510193 @default.
- W2358256952 hasConcept C31972630 @default.
- W2358256952 hasConcept C36289849 @default.
- W2358256952 hasConcept C41008148 @default.
- W2358256952 hasConcept C95623464 @default.
- W2358256952 hasConcept C97931131 @default.
- W2358256952 hasConceptScore W2358256952C106487976 @default.
- W2358256952 hasConceptScore W2358256952C11413529 @default.
- W2358256952 hasConceptScore W2358256952C119857082 @default.
- W2358256952 hasConceptScore W2358256952C144024400 @default.
- W2358256952 hasConceptScore W2358256952C153180895 @default.
- W2358256952 hasConceptScore W2358256952C154945302 @default.
- W2358256952 hasConceptScore W2358256952C159985019 @default.
- W2358256952 hasConceptScore W2358256952C176917957 @default.
- W2358256952 hasConceptScore W2358256952C180877172 @default.
- W2358256952 hasConceptScore W2358256952C185142706 @default.
- W2358256952 hasConceptScore W2358256952C192562407 @default.
- W2358256952 hasConceptScore W2358256952C205203396 @default.
- W2358256952 hasConceptScore W2358256952C2777212361 @default.
- W2358256952 hasConceptScore W2358256952C2779304628 @default.
- W2358256952 hasConceptScore W2358256952C31510193 @default.
- W2358256952 hasConceptScore W2358256952C31972630 @default.
- W2358256952 hasConceptScore W2358256952C36289849 @default.
- W2358256952 hasConceptScore W2358256952C41008148 @default.
- W2358256952 hasConceptScore W2358256952C95623464 @default.
- W2358256952 hasConceptScore W2358256952C97931131 @default.
- W2358256952 hasLocation W23582569521 @default.
- W2358256952 hasOpenAccess W2358256952 @default.
- W2358256952 hasPrimaryLocation W23582569521 @default.
- W2358256952 hasRelatedWork W1976069012 @default.
- W2358256952 hasRelatedWork W1984929054 @default.
- W2358256952 hasRelatedWork W2008554899 @default.
- W2358256952 hasRelatedWork W2031922707 @default.
- W2358256952 hasRelatedWork W2055048203 @default.
- W2358256952 hasRelatedWork W2067165398 @default.
- W2358256952 hasRelatedWork W2082529910 @default.
- W2358256952 hasRelatedWork W2116410345 @default.
- W2358256952 hasRelatedWork W2133181948 @default.
- W2358256952 hasRelatedWork W2144990628 @default.
- W2358256952 hasRelatedWork W2147863323 @default.
- W2358256952 hasRelatedWork W2158762543 @default.
- W2358256952 hasRelatedWork W2160523419 @default.
- W2358256952 hasRelatedWork W2223936967 @default.
- W2358256952 hasRelatedWork W2314290140 @default.
- W2358256952 hasRelatedWork W2352054778 @default.
- W2358256952 hasRelatedWork W2358712196 @default.
- W2358256952 hasRelatedWork W2361200880 @default.
- W2358256952 hasRelatedWork W2363309812 @default.
- W2358256952 hasRelatedWork W3023265107 @default.
- W2358256952 isParatext "false" @default.
- W2358256952 isRetracted "false" @default.
- W2358256952 magId "2358256952" @default.
- W2358256952 workType "article" @default.