Matches in SemOpenAlex for { <https://semopenalex.org/work/W169405910> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W169405910 abstract "Linear discriminant analysis (LDA) can extract features that preserve class separability. For small sample size (SSS) problems, the number of data samples is smaller than the dimension of data space, and the within-class scatter matrix of data samples is singular. LDA cannot be directly applied to SSS problems, since LDA requires the within-class scatter matrix to be non-singular. Regularized linear discriminant analysis (RLDA) is a common way to deal with singularity problems. In this paper, a subspace RLDA (SRLDA) algorithm is presented for SSS problems, which is performed in a subspace containing the range space of the total scatter matrix. The use of different parameter values in the regularization of the within-class matrix connects SRLDA to several extensions of LDA including discriminative common vectors (DCV), complete LDA (CLDA) and pseudo-inverse LDA (PLDA). An efficient algorithm to perform SRLDA based on the QR decomposition is developed, which makes the algorithm feasible and efficient for SSS problems. Face recognition is a well-known SSS problem and extensive experiments on various datasets of face images are conducted to evaluate the proposed algorithm and compare SRLDA with other extended LDA algorithms. Experimental results show the proposed algorithm can fuse discriminative information in the range and the null space of the within-class scatter matrix to find optimal discriminant vectors." @default.
- W169405910 created "2016-06-24" @default.
- W169405910 creator A5015406931 @default.
- W169405910 creator A5076994539 @default.
- W169405910 date "2012-01-01" @default.
- W169405910 modified "2023-09-27" @default.
- W169405910 title "Subspace Regularized Linear Discriminant Analysis for Small Sample Size Problems" @default.
- W169405910 cites W1540155273 @default.
- W169405910 cites W1974097586 @default.
- W169405910 cites W1985809919 @default.
- W169405910 cites W2021470860 @default.
- W169405910 cites W2046649434 @default.
- W169405910 cites W2088900896 @default.
- W169405910 cites W2104834378 @default.
- W169405910 cites W2116551122 @default.
- W169405910 cites W2164071167 @default.
- W169405910 doi "https://doi.org/10.1007/978-3-642-32695-0_58" @default.
- W169405910 hasPublicationYear "2012" @default.
- W169405910 type Work @default.
- W169405910 sameAs 169405910 @default.
- W169405910 citedByCount "0" @default.
- W169405910 crossrefType "book-chapter" @default.
- W169405910 hasAuthorship W169405910A5015406931 @default.
- W169405910 hasAuthorship W169405910A5076994539 @default.
- W169405910 hasConcept C104500394 @default.
- W169405910 hasConcept C106487976 @default.
- W169405910 hasConcept C11413529 @default.
- W169405910 hasConcept C121332964 @default.
- W169405910 hasConcept C153180895 @default.
- W169405910 hasConcept C154945302 @default.
- W169405910 hasConcept C158693339 @default.
- W169405910 hasConcept C159985019 @default.
- W169405910 hasConcept C176917957 @default.
- W169405910 hasConcept C180877172 @default.
- W169405910 hasConcept C185142706 @default.
- W169405910 hasConcept C192562407 @default.
- W169405910 hasConcept C22789450 @default.
- W169405910 hasConcept C27438332 @default.
- W169405910 hasConcept C2776135515 @default.
- W169405910 hasConcept C32834561 @default.
- W169405910 hasConcept C33923547 @default.
- W169405910 hasConcept C41008148 @default.
- W169405910 hasConcept C42355184 @default.
- W169405910 hasConcept C62520636 @default.
- W169405910 hasConcept C69738355 @default.
- W169405910 hasConcept C78397625 @default.
- W169405910 hasConcept C97931131 @default.
- W169405910 hasConceptScore W169405910C104500394 @default.
- W169405910 hasConceptScore W169405910C106487976 @default.
- W169405910 hasConceptScore W169405910C11413529 @default.
- W169405910 hasConceptScore W169405910C121332964 @default.
- W169405910 hasConceptScore W169405910C153180895 @default.
- W169405910 hasConceptScore W169405910C154945302 @default.
- W169405910 hasConceptScore W169405910C158693339 @default.
- W169405910 hasConceptScore W169405910C159985019 @default.
- W169405910 hasConceptScore W169405910C176917957 @default.
- W169405910 hasConceptScore W169405910C180877172 @default.
- W169405910 hasConceptScore W169405910C185142706 @default.
- W169405910 hasConceptScore W169405910C192562407 @default.
- W169405910 hasConceptScore W169405910C22789450 @default.
- W169405910 hasConceptScore W169405910C27438332 @default.
- W169405910 hasConceptScore W169405910C2776135515 @default.
- W169405910 hasConceptScore W169405910C32834561 @default.
- W169405910 hasConceptScore W169405910C33923547 @default.
- W169405910 hasConceptScore W169405910C41008148 @default.
- W169405910 hasConceptScore W169405910C42355184 @default.
- W169405910 hasConceptScore W169405910C62520636 @default.
- W169405910 hasConceptScore W169405910C69738355 @default.
- W169405910 hasConceptScore W169405910C78397625 @default.
- W169405910 hasConceptScore W169405910C97931131 @default.
- W169405910 hasLocation W1694059101 @default.
- W169405910 hasOpenAccess W169405910 @default.
- W169405910 hasPrimaryLocation W1694059101 @default.
- W169405910 hasRelatedWork W1972766437 @default.
- W169405910 hasRelatedWork W1997335117 @default.
- W169405910 hasRelatedWork W199919684 @default.
- W169405910 hasRelatedWork W2028951605 @default.
- W169405910 hasRelatedWork W2031461935 @default.
- W169405910 hasRelatedWork W2064506932 @default.
- W169405910 hasRelatedWork W2085044339 @default.
- W169405910 hasRelatedWork W2100183381 @default.
- W169405910 hasRelatedWork W2105081321 @default.
- W169405910 hasRelatedWork W2123180320 @default.
- W169405910 hasRelatedWork W2126956442 @default.
- W169405910 hasRelatedWork W2179775789 @default.
- W169405910 hasRelatedWork W2369914053 @default.
- W169405910 hasRelatedWork W2384722496 @default.
- W169405910 hasRelatedWork W2583743373 @default.
- W169405910 hasRelatedWork W2790688554 @default.
- W169405910 hasRelatedWork W2898034154 @default.
- W169405910 hasRelatedWork W2902852270 @default.
- W169405910 hasRelatedWork W2944556810 @default.
- W169405910 hasRelatedWork W3184640032 @default.
- W169405910 isParatext "false" @default.
- W169405910 isRetracted "false" @default.
- W169405910 magId "169405910" @default.
- W169405910 workType "book-chapter" @default.