FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1857785566> ?p ?o ?g. }

• W1857785566 endingPage "147" @default.
• W1857785566 startingPage "135" @default.
• W1857785566 abstract "In various pattern classification problems, semi-supervised discriminant analysis has shown its effectiveness in utilizing unlabeled data to yield better performance than linear discriminant analysis. However, many of these semi-supervised classifiers operate in batch-mode and do not allow to incrementally update the existing model, which is one of the major limitations. This paper presents an incremental semi-supervised discriminant analysis algorithm, which utilizes the unlabeled data for enabling incremental learning. The major contributions of this research are (1) utilizing large unlabeled training set to estimate the total scatter matrix, (2) incremental learning approach that requires updating only the between-class scatter matrix and not the total scatter matrix, and (3) utilizing manifold regularization for robust estimation of total variability and sufficient spanning set representation for incremental learning. Using face recognition as the case study, evaluation is performed on the CMU-PIE, CMU-MultiPIE, and NIR-VIS-2.0 datasets. The experimental results show that the incremental model is consistent with the batch counterpart and reduces the training time significantly." @default.
• W1857785566 created "2016-06-24" @default.
• W1857785566 creator A5017064237 @default.
• W1857785566 creator A5032002504 @default.
• W1857785566 creator A5050521702 @default.
• W1857785566 date "2016-04-01" @default.
• W1857785566 modified "2023-09-24" @default.
• W1857785566 title "On incremental semi-supervised discriminant analysis" @default.
• W1857785566 cites W1967932897 @default.
• W1857785566 cites W1969204685 @default.
• W1857785566 cites W1993201782 @default.
• W1857785566 cites W1994094966 @default.
• W1857785566 cites W2001619934 @default.
• W1857785566 cites W2008661016 @default.
• W1857785566 cites W2012352340 @default.
• W1857785566 cites W2023717039 @default.
• W1857785566 cites W2024370061 @default.
• W1857785566 cites W2046649434 @default.
• W1857785566 cites W2055981222 @default.
• W1857785566 cites W2066060819 @default.
• W1857785566 cites W2073148270 @default.
• W1857785566 cites W2076575775 @default.
• W1857785566 cites W2097179345 @default.
• W1857785566 cites W2097308346 @default.
• W1857785566 cites W2097703723 @default.
• W1857785566 cites W2104294146 @default.
• W1857785566 cites W2105055468 @default.
• W1857785566 cites W2105628133 @default.
• W1857785566 cites W2112109082 @default.
• W1857785566 cites W2117553576 @default.
• W1857785566 cites W2121085248 @default.
• W1857785566 cites W2121647436 @default.
• W1857785566 cites W2131459196 @default.
• W1857785566 cites W2131858147 @default.
• W1857785566 cites W2136540140 @default.
• W1857785566 cites W2138451337 @default.
• W1857785566 cites W2144086405 @default.
• W1857785566 cites W2147304640 @default.
• W1857785566 cites W2155644064 @default.
• W1857785566 cites W2160696406 @default.
• W1857785566 cites W2163584563 @default.
• W1857785566 cites W2164552042 @default.
• W1857785566 cites W2167048949 @default.
• W1857785566 cites W2167478073 @default.
• W1857785566 cites W2912990735 @default.
• W1857785566 cites W4210997624 @default.
• W1857785566 cites W4235011515 @default.
• W1857785566 cites W4320800818 @default.
• W1857785566 doi "https://doi.org/10.1016/j.patcog.2015.09.030" @default.
• W1857785566 hasPublicationYear "2016" @default.
• W1857785566 type Work @default.
• W1857785566 sameAs 1857785566 @default.
• W1857785566 citedByCount "17" @default.
• W1857785566 countsByYear W18577855662017 @default.
• W1857785566 countsByYear W18577855662018 @default.
• W1857785566 countsByYear W18577855662019 @default.
• W1857785566 countsByYear W18577855662020 @default.
• W1857785566 countsByYear W18577855662021 @default.
• W1857785566 countsByYear W18577855662022 @default.
• W1857785566 crossrefType "journal-article" @default.
• W1857785566 hasAuthorship W1857785566A5017064237 @default.
• W1857785566 hasAuthorship W1857785566A5032002504 @default.
• W1857785566 hasAuthorship W1857785566A5050521702 @default.
• W1857785566 hasConcept C106487976 @default.
• W1857785566 hasConcept C119857082 @default.
• W1857785566 hasConcept C136389625 @default.
• W1857785566 hasConcept C153180895 @default.
• W1857785566 hasConcept C154945302 @default.
• W1857785566 hasConcept C159985019 @default.
• W1857785566 hasConcept C161584116 @default.
• W1857785566 hasConcept C176917957 @default.
• W1857785566 hasConcept C177264268 @default.
• W1857785566 hasConcept C177384507 @default.
• W1857785566 hasConcept C192562407 @default.
• W1857785566 hasConcept C199360897 @default.
• W1857785566 hasConcept C2776135515 @default.
• W1857785566 hasConcept C33923547 @default.
• W1857785566 hasConcept C41008148 @default.
• W1857785566 hasConcept C50644808 @default.
• W1857785566 hasConcept C58489278 @default.
• W1857785566 hasConcept C58973888 @default.
• W1857785566 hasConcept C69738355 @default.
• W1857785566 hasConcept C78397625 @default.
• W1857785566 hasConceptScore W1857785566C106487976 @default.
• W1857785566 hasConceptScore W1857785566C119857082 @default.
• W1857785566 hasConceptScore W1857785566C136389625 @default.
• W1857785566 hasConceptScore W1857785566C153180895 @default.
• W1857785566 hasConceptScore W1857785566C154945302 @default.
• W1857785566 hasConceptScore W1857785566C159985019 @default.
• W1857785566 hasConceptScore W1857785566C161584116 @default.
• W1857785566 hasConceptScore W1857785566C176917957 @default.
• W1857785566 hasConceptScore W1857785566C177264268 @default.
• W1857785566 hasConceptScore W1857785566C177384507 @default.
• W1857785566 hasConceptScore W1857785566C192562407 @default.
• W1857785566 hasConceptScore W1857785566C199360897 @default.
• W1857785566 hasConceptScore W1857785566C2776135515 @default.
• W1857785566 hasConceptScore W1857785566C33923547 @default.
• W1857785566 hasConceptScore W1857785566C41008148 @default.

• next