Matches in SemOpenAlex for { <https://semopenalex.org/work/W2032699852> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2032699852 endingPage "4140" @default.
- W2032699852 startingPage "4128" @default.
- W2032699852 abstract "In many applications of regression, one is concerned with the efficiency of the estimated function in addition to the accuracy of the regression. For efficiency, it is common to represent the estimated function as a rectangular lattice of values—a lookup table (LUT)—that can be linearly interpolated for any needed value. Typically, a LUT is constructed from data with a two-step process that first fits a function to the data, then evaluates that fitted function at the nodes of the lattice. We present an approach, termed lattice regression, that directly optimizes the values of the lattice nodes to minimize the post-interpolation training error. Additionally, we propose a second-order difference regularizer to promote smoothness. We demonstrate the effectiveness of this approach on two image processing tasks that require both accurate regression and efficient function evaluations: inverse device characterization for color management and omnidirectional super-resolution for visual homing." @default.
- W2032699852 created "2016-06-24" @default.
- W2032699852 creator A5006404251 @default.
- W2032699852 creator A5024519528 @default.
- W2032699852 creator A5063457506 @default.
- W2032699852 date "2012-09-01" @default.
- W2032699852 modified "2023-09-24" @default.
- W2032699852 title "Optimized Regression for Efficient Function Evaluation" @default.
- W2032699852 cites W2054134678 @default.
- W2032699852 cites W2065540158 @default.
- W2032699852 cites W2067042811 @default.
- W2032699852 cites W2097594185 @default.
- W2032699852 cites W2102462738 @default.
- W2032699852 cites W2104876002 @default.
- W2032699852 cites W2109364787 @default.
- W2032699852 cites W2112976298 @default.
- W2032699852 cites W2118048031 @default.
- W2032699852 cites W2120252149 @default.
- W2032699852 cites W2129666454 @default.
- W2032699852 cites W2132914434 @default.
- W2032699852 cites W2138491947 @default.
- W2032699852 cites W2139339670 @default.
- W2032699852 cites W2144343563 @default.
- W2032699852 cites W2147321963 @default.
- W2032699852 cites W2148983690 @default.
- W2032699852 cites W2151380144 @default.
- W2032699852 cites W2157494358 @default.
- W2032699852 cites W2157635915 @default.
- W2032699852 cites W2167547484 @default.
- W2032699852 cites W2170548340 @default.
- W2032699852 cites W3187885428 @default.
- W2032699852 doi "https://doi.org/10.1109/tip.2012.2200902" @default.
- W2032699852 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22645270" @default.
- W2032699852 hasPublicationYear "2012" @default.
- W2032699852 type Work @default.
- W2032699852 sameAs 2032699852 @default.
- W2032699852 citedByCount "14" @default.
- W2032699852 countsByYear W20326998522015 @default.
- W2032699852 countsByYear W20326998522016 @default.
- W2032699852 countsByYear W20326998522017 @default.
- W2032699852 countsByYear W20326998522018 @default.
- W2032699852 countsByYear W20326998522020 @default.
- W2032699852 countsByYear W20326998522021 @default.
- W2032699852 countsByYear W20326998522023 @default.
- W2032699852 crossrefType "journal-article" @default.
- W2032699852 hasAuthorship W2032699852A5006404251 @default.
- W2032699852 hasAuthorship W2032699852A5024519528 @default.
- W2032699852 hasAuthorship W2032699852A5063457506 @default.
- W2032699852 hasConcept C105795698 @default.
- W2032699852 hasConcept C11413529 @default.
- W2032699852 hasConcept C119857082 @default.
- W2032699852 hasConcept C121332964 @default.
- W2032699852 hasConcept C134835016 @default.
- W2032699852 hasConcept C152877465 @default.
- W2032699852 hasConcept C154945302 @default.
- W2032699852 hasConcept C199360897 @default.
- W2032699852 hasConcept C24890656 @default.
- W2032699852 hasConcept C2781204021 @default.
- W2032699852 hasConcept C33923547 @default.
- W2032699852 hasConcept C41008148 @default.
- W2032699852 hasConcept C83546350 @default.
- W2032699852 hasConceptScore W2032699852C105795698 @default.
- W2032699852 hasConceptScore W2032699852C11413529 @default.
- W2032699852 hasConceptScore W2032699852C119857082 @default.
- W2032699852 hasConceptScore W2032699852C121332964 @default.
- W2032699852 hasConceptScore W2032699852C134835016 @default.
- W2032699852 hasConceptScore W2032699852C152877465 @default.
- W2032699852 hasConceptScore W2032699852C154945302 @default.
- W2032699852 hasConceptScore W2032699852C199360897 @default.
- W2032699852 hasConceptScore W2032699852C24890656 @default.
- W2032699852 hasConceptScore W2032699852C2781204021 @default.
- W2032699852 hasConceptScore W2032699852C33923547 @default.
- W2032699852 hasConceptScore W2032699852C41008148 @default.
- W2032699852 hasConceptScore W2032699852C83546350 @default.
- W2032699852 hasIssue "9" @default.
- W2032699852 hasLocation W20326998521 @default.
- W2032699852 hasLocation W20326998522 @default.
- W2032699852 hasOpenAccess W2032699852 @default.
- W2032699852 hasPrimaryLocation W20326998521 @default.
- W2032699852 hasRelatedWork W2019213545 @default.
- W2032699852 hasRelatedWork W2022739798 @default.
- W2032699852 hasRelatedWork W2351049170 @default.
- W2032699852 hasRelatedWork W2351491280 @default.
- W2032699852 hasRelatedWork W2371447506 @default.
- W2032699852 hasRelatedWork W2386767533 @default.
- W2032699852 hasRelatedWork W2388805907 @default.
- W2032699852 hasRelatedWork W303980170 @default.
- W2032699852 hasRelatedWork W3141679561 @default.
- W2032699852 hasRelatedWork W4312528244 @default.
- W2032699852 hasVolume "21" @default.
- W2032699852 isParatext "false" @default.
- W2032699852 isRetracted "false" @default.
- W2032699852 magId "2032699852" @default.
- W2032699852 workType "article" @default.