FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2324335215> ?p ?o ?g. }

• W2324335215 endingPage "210" @default.
• W2324335215 startingPage "198" @default.
• W2324335215 abstract "Recently, sparse representation based classification (SRC) and collaborative representation based classification (CRC) have been successfully used for visual recognition and have demonstrated impressive performance. Given a test sample, SRC or CRC formulates its linear representation with respect to the training samples and then computes the residual error for each class. SRC or CRC assumes that the training samples from each class contribute equally to the dictionary in the corresponding class, i.e., the dictionary consists of the training samples in that class. This, however, leads to high residual error and instability. To overcome this limitation, we propose a class specific dictionary learning algorithm. To be specific, by introducing the dual form of dictionary learning, an explicit relationship between the basis vectors and the original image features is represented, which also enhances the interpretability. SRC or CRC can be thus considered as a special case of the proposed algorithm. Blockwise coordinate descent algorithm and Lagrange multipliers are then adopted to optimize the corresponding objective function. Extensive experimental results on five benchmark face recognition datasets show that the proposed algorithm achieves superior performance compared with conventional classification algorithms." @default.
• W2324335215 created "2016-06-24" @default.
• W2324335215 creator A5033684035 @default.
• W2324335215 creator A5037727565 @default.
• W2324335215 creator A5039231803 @default.
• W2324335215 creator A5047480995 @default.
• W2324335215 creator A5053959119 @default.
• W2324335215 creator A5087549046 @default.
• W2324335215 creator A5091703383 @default.
• W2324335215 date "2016-09-01" @default.
• W2324335215 modified "2023-10-17" @default.
• W2324335215 title "Face recognition using class specific dictionary learning for sparse representation and collaborative representation" @default.
• W2324335215 cites W1540764732 @default.
• W2324335215 cites W1922288304 @default.
• W2324335215 cites W1963932623 @default.
• W2324335215 cites W1974573780 @default.
• W2324335215 cites W1982405594 @default.
• W2324335215 cites W1988898685 @default.
• W2324335215 cites W1989702938 @default.
• W2324335215 cites W1992405901 @default.
• W2324335215 cites W1998433034 @default.
• W2324335215 cites W2006904655 @default.
• W2324335215 cites W2027805700 @default.
• W2324335215 cites W2031826121 @default.
• W2324335215 cites W2032768707 @default.
• W2324335215 cites W2035299679 @default.
• W2324335215 cites W2068355225 @default.
• W2324335215 cites W2073605108 @default.
• W2324335215 cites W2075880488 @default.
• W2324335215 cites W2094144876 @default.
• W2324335215 cites W2102805523 @default.
• W2324335215 cites W2103560185 @default.
• W2324335215 cites W2105610271 @default.
• W2324335215 cites W2113606819 @default.
• W2324335215 cites W2117513046 @default.
• W2324335215 cites W2117553576 @default.
• W2324335215 cites W2121647436 @default.
• W2324335215 cites W2123921160 @default.
• W2324335215 cites W2125742596 @default.
• W2324335215 cites W2129812935 @default.
• W2324335215 cites W2132467081 @default.
• W2324335215 cites W2138451337 @default.
• W2324335215 cites W2143254810 @default.
• W2324335215 cites W2144359569 @default.
• W2324335215 cites W2153635508 @default.
• W2324335215 cites W2155759509 @default.
• W2324335215 cites W2165702682 @default.
• W2324335215 cites W2293272929 @default.
• W2324335215 cites W2316405210 @default.
• W2324335215 cites W2566038561 @default.
• W2324335215 cites W3098527277 @default.
• W2324335215 doi "https://doi.org/10.1016/j.neucom.2015.08.128" @default.
• W2324335215 hasPublicationYear "2016" @default.
• W2324335215 type Work @default.
• W2324335215 sameAs 2324335215 @default.
• W2324335215 citedByCount "46" @default.
• W2324335215 countsByYear W23243352152016 @default.
• W2324335215 countsByYear W23243352152017 @default.
• W2324335215 countsByYear W23243352152018 @default.
• W2324335215 countsByYear W23243352152019 @default.
• W2324335215 countsByYear W23243352152020 @default.
• W2324335215 countsByYear W23243352152021 @default.
• W2324335215 countsByYear W23243352152022 @default.
• W2324335215 countsByYear W23243352152023 @default.
• W2324335215 crossrefType "journal-article" @default.
• W2324335215 hasAuthorship W2324335215A5033684035 @default.
• W2324335215 hasAuthorship W2324335215A5037727565 @default.
• W2324335215 hasAuthorship W2324335215A5039231803 @default.
• W2324335215 hasAuthorship W2324335215A5047480995 @default.
• W2324335215 hasAuthorship W2324335215A5053959119 @default.
• W2324335215 hasAuthorship W2324335215A5087549046 @default.
• W2324335215 hasAuthorship W2324335215A5091703383 @default.
• W2324335215 hasConcept C11413529 @default.
• W2324335215 hasConcept C119857082 @default.
• W2324335215 hasConcept C124066611 @default.
• W2324335215 hasConcept C13280743 @default.
• W2324335215 hasConcept C144024400 @default.
• W2324335215 hasConcept C153180895 @default.
• W2324335215 hasConcept C154945302 @default.
• W2324335215 hasConcept C155512373 @default.
• W2324335215 hasConcept C157553263 @default.
• W2324335215 hasConcept C17744445 @default.
• W2324335215 hasConcept C185798385 @default.
• W2324335215 hasConcept C199539241 @default.
• W2324335215 hasConcept C205649164 @default.
• W2324335215 hasConcept C2776359362 @default.
• W2324335215 hasConcept C2777212361 @default.
• W2324335215 hasConcept C2779304628 @default.
• W2324335215 hasConcept C2781067378 @default.
• W2324335215 hasConcept C31510193 @default.
• W2324335215 hasConcept C36289849 @default.
• W2324335215 hasConcept C41008148 @default.
• W2324335215 hasConcept C94625758 @default.
• W2324335215 hasConceptScore W2324335215C11413529 @default.
• W2324335215 hasConceptScore W2324335215C119857082 @default.
• W2324335215 hasConceptScore W2324335215C124066611 @default.
• W2324335215 hasConceptScore W2324335215C13280743 @default.
• W2324335215 hasConceptScore W2324335215C144024400 @default.

• next