FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1569265273> ?p ?o ?g. }

• W1569265273 abstract "Previous work has demonstrated that the image variations of many objects (human faces in particular) under variable lighting can be effectively modelled by low dimensional linear spaces. The typical methods for learning a face subspace include Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Locality Preserving Projection (LPP). Theoretical analysis shows that all these three methods can be obtained from different graph models which correspond to different geometrical structures. In this paper, we systematically analyze the relationship between these three subspace methods. We shows that LPP provides a more general framework for subspace learning and a natural solution to the small sample issue in LDA. Extensive experiments on face recognition and clustering are performed on Yale, ORL and PIE databases." @default.
• W1569265273 created "2016-06-24" @default.
• W1569265273 creator A5037942269 @default.
• W1569265273 creator A5060656344 @default.
• W1569265273 creator A5089722002 @default.
• W1569265273 date "2005-09-01" @default.
• W1569265273 modified "2023-09-27" @default.
• W1569265273 title "Using Graph Model for Face Analysis" @default.
• W1569265273 cites W1578099820 @default.
• W1569265273 cites W1985809919 @default.
• W1569265273 cites W2001141328 @default.
• W1569265273 cites W2006793117 @default.
• W1569265273 cites W2013029404 @default.
• W1569265273 cites W2053186076 @default.
• W1569265273 cites W2088900896 @default.
• W1569265273 cites W2098693229 @default.
• W1569265273 cites W2101169619 @default.
• W1569265273 cites W2103971661 @default.
• W1569265273 cites W2107542203 @default.
• W1569265273 cites W2109749916 @default.
• W1569265273 cites W2117553576 @default.
• W1569265273 cites W2121647436 @default.
• W1569265273 cites W2121947440 @default.
• W1569265273 cites W2125742596 @default.
• W1569265273 cites W2128716185 @default.
• W1569265273 cites W2134262590 @default.
• W1569265273 cites W2138451337 @default.
• W1569265273 cites W2154872931 @default.
• W1569265273 cites W2156718197 @default.
• W1569265273 cites W2165874743 @default.
• W1569265273 cites W2799061466 @default.
• W1569265273 cites W1834069999 @default.
• W1569265273 hasPublicationYear "2005" @default.
• W1569265273 type Work @default.
• W1569265273 sameAs 1569265273 @default.
• W1569265273 citedByCount "27" @default.
• W1569265273 countsByYear W15692652732012 @default.
• W1569265273 countsByYear W15692652732013 @default.
• W1569265273 countsByYear W15692652732014 @default.
• W1569265273 countsByYear W15692652732015 @default.
• W1569265273 countsByYear W15692652732016 @default.
• W1569265273 countsByYear W15692652732021 @default.
• W1569265273 crossrefType "journal-article" @default.
• W1569265273 hasAuthorship W1569265273A5037942269 @default.
• W1569265273 hasAuthorship W1569265273A5060656344 @default.
• W1569265273 hasAuthorship W1569265273A5089722002 @default.
• W1569265273 hasConcept C11413529 @default.
• W1569265273 hasConcept C12362212 @default.
• W1569265273 hasConcept C132525143 @default.
• W1569265273 hasConcept C138885662 @default.
• W1569265273 hasConcept C144024400 @default.
• W1569265273 hasConcept C153180895 @default.
• W1569265273 hasConcept C154945302 @default.
• W1569265273 hasConcept C2524010 @default.
• W1569265273 hasConcept C27438332 @default.
• W1569265273 hasConcept C2779304628 @default.
• W1569265273 hasConcept C2779808786 @default.
• W1569265273 hasConcept C31510193 @default.
• W1569265273 hasConcept C32834561 @default.
• W1569265273 hasConcept C33923547 @default.
• W1569265273 hasConcept C36289849 @default.
• W1569265273 hasConcept C41008148 @default.
• W1569265273 hasConcept C41895202 @default.
• W1569265273 hasConcept C57493831 @default.
• W1569265273 hasConcept C69738355 @default.
• W1569265273 hasConcept C73555534 @default.
• W1569265273 hasConcept C80444323 @default.
• W1569265273 hasConceptScore W1569265273C11413529 @default.
• W1569265273 hasConceptScore W1569265273C12362212 @default.
• W1569265273 hasConceptScore W1569265273C132525143 @default.
• W1569265273 hasConceptScore W1569265273C138885662 @default.
• W1569265273 hasConceptScore W1569265273C144024400 @default.
• W1569265273 hasConceptScore W1569265273C153180895 @default.
• W1569265273 hasConceptScore W1569265273C154945302 @default.
• W1569265273 hasConceptScore W1569265273C2524010 @default.
• W1569265273 hasConceptScore W1569265273C27438332 @default.
• W1569265273 hasConceptScore W1569265273C2779304628 @default.
• W1569265273 hasConceptScore W1569265273C2779808786 @default.
• W1569265273 hasConceptScore W1569265273C31510193 @default.
• W1569265273 hasConceptScore W1569265273C32834561 @default.
• W1569265273 hasConceptScore W1569265273C33923547 @default.
• W1569265273 hasConceptScore W1569265273C36289849 @default.
• W1569265273 hasConceptScore W1569265273C41008148 @default.
• W1569265273 hasConceptScore W1569265273C41895202 @default.
• W1569265273 hasConceptScore W1569265273C57493831 @default.
• W1569265273 hasConceptScore W1569265273C69738355 @default.
• W1569265273 hasConceptScore W1569265273C73555534 @default.
• W1569265273 hasConceptScore W1569265273C80444323 @default.
• W1569265273 hasLocation W15692652731 @default.
• W1569265273 hasOpenAccess W1569265273 @default.
• W1569265273 hasPrimaryLocation W15692652731 @default.
• W1569265273 hasRelatedWork W1595132914 @default.
• W1569265273 hasRelatedWork W2001141328 @default.
• W1569265273 hasRelatedWork W2001619934 @default.
• W1569265273 hasRelatedWork W2053186076 @default.
• W1569265273 hasRelatedWork W2071128523 @default.
• W1569265273 hasRelatedWork W2077776048 @default.
• W1569265273 hasRelatedWork W2097308346 @default.
• W1569265273 hasRelatedWork W2098693229 @default.
• W1569265273 hasRelatedWork W2103250033 @default.

• next