Matches in SemOpenAlex for { <https://semopenalex.org/work/W2116082904> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2116082904 abstract "The paper addresses the problem of resource allocation in local linear models for nonlinear principal component analysis (PCA). In the local PCA model, the data space is partitioned into regions and PCA is performed in each region. Our primary result indicates that the advantage of these models over conventional PCA has been significantly underestimated in previous work. We apply local PCA models to the problems of image dimension reduction and transform coding. Our results show that by allocating representation or coding resources to the different image regions, instead of using a fixed arbitrary dimension everywhere, substantial increases in dimension reduced or compressed image qualify can be achieved." @default.
- W2116082904 created "2016-06-24" @default.
- W2116082904 creator A5034783699 @default.
- W2116082904 creator A5086377862 @default.
- W2116082904 date "2003-01-22" @default.
- W2116082904 modified "2023-09-26" @default.
- W2116082904 title "Optimal dimension reduction and transform coding with mixture principal components" @default.
- W2116082904 cites W1988162842 @default.
- W2116082904 cites W2005245503 @default.
- W2116082904 cites W2042934750 @default.
- W2116082904 cites W2096710051 @default.
- W2116082904 cites W2107200220 @default.
- W2116082904 cites W2118274709 @default.
- W2116082904 cites W2121122425 @default.
- W2116082904 cites W2122538988 @default.
- W2116082904 cites W2123741565 @default.
- W2116082904 cites W2146610201 @default.
- W2116082904 cites W2150593711 @default.
- W2116082904 cites W2154555188 @default.
- W2116082904 doi "https://doi.org/10.1109/ijcnn.1999.831075" @default.
- W2116082904 hasPublicationYear "2003" @default.
- W2116082904 type Work @default.
- W2116082904 sameAs 2116082904 @default.
- W2116082904 citedByCount "8" @default.
- W2116082904 countsByYear W21160829042014 @default.
- W2116082904 crossrefType "proceedings-article" @default.
- W2116082904 hasAuthorship W2116082904A5034783699 @default.
- W2116082904 hasAuthorship W2116082904A5086377862 @default.
- W2116082904 hasConcept C105795698 @default.
- W2116082904 hasConcept C11413529 @default.
- W2116082904 hasConcept C115961682 @default.
- W2116082904 hasConcept C126255220 @default.
- W2116082904 hasConcept C153180895 @default.
- W2116082904 hasConcept C154945302 @default.
- W2116082904 hasConcept C169805256 @default.
- W2116082904 hasConcept C179518139 @default.
- W2116082904 hasConcept C202444582 @default.
- W2116082904 hasConcept C2221639 @default.
- W2116082904 hasConcept C24252448 @default.
- W2116082904 hasConcept C27438332 @default.
- W2116082904 hasConcept C33676613 @default.
- W2116082904 hasConcept C33923547 @default.
- W2116082904 hasConcept C41008148 @default.
- W2116082904 hasConcept C70518039 @default.
- W2116082904 hasConceptScore W2116082904C105795698 @default.
- W2116082904 hasConceptScore W2116082904C11413529 @default.
- W2116082904 hasConceptScore W2116082904C115961682 @default.
- W2116082904 hasConceptScore W2116082904C126255220 @default.
- W2116082904 hasConceptScore W2116082904C153180895 @default.
- W2116082904 hasConceptScore W2116082904C154945302 @default.
- W2116082904 hasConceptScore W2116082904C169805256 @default.
- W2116082904 hasConceptScore W2116082904C179518139 @default.
- W2116082904 hasConceptScore W2116082904C202444582 @default.
- W2116082904 hasConceptScore W2116082904C2221639 @default.
- W2116082904 hasConceptScore W2116082904C24252448 @default.
- W2116082904 hasConceptScore W2116082904C27438332 @default.
- W2116082904 hasConceptScore W2116082904C33676613 @default.
- W2116082904 hasConceptScore W2116082904C33923547 @default.
- W2116082904 hasConceptScore W2116082904C41008148 @default.
- W2116082904 hasConceptScore W2116082904C70518039 @default.
- W2116082904 hasLocation W21160829041 @default.
- W2116082904 hasOpenAccess W2116082904 @default.
- W2116082904 hasPrimaryLocation W21160829041 @default.
- W2116082904 hasRelatedWork W1597303045 @default.
- W2116082904 hasRelatedWork W1634005169 @default.
- W2116082904 hasRelatedWork W1982606067 @default.
- W2116082904 hasRelatedWork W2008241367 @default.
- W2116082904 hasRelatedWork W2015654677 @default.
- W2116082904 hasRelatedWork W2017790745 @default.
- W2116082904 hasRelatedWork W2023593803 @default.
- W2116082904 hasRelatedWork W2068674983 @default.
- W2116082904 hasRelatedWork W2094047691 @default.
- W2116082904 hasRelatedWork W2111448058 @default.
- W2116082904 hasRelatedWork W2122253389 @default.
- W2116082904 hasRelatedWork W2126513157 @default.
- W2116082904 hasRelatedWork W2127927679 @default.
- W2116082904 hasRelatedWork W2146610201 @default.
- W2116082904 hasRelatedWork W2159931533 @default.
- W2116082904 hasRelatedWork W2171937254 @default.
- W2116082904 hasRelatedWork W2387909341 @default.
- W2116082904 hasRelatedWork W2561168891 @default.
- W2116082904 hasRelatedWork W2615159913 @default.
- W2116082904 hasRelatedWork W337424812 @default.
- W2116082904 isParatext "false" @default.
- W2116082904 isRetracted "false" @default.
- W2116082904 magId "2116082904" @default.
- W2116082904 workType "article" @default.