Matches in SemOpenAlex for { <https://semopenalex.org/work/W2024886312> ?p ?o ?g. }
- W2024886312 endingPage "341" @default.
- W2024886312 startingPage "329" @default.
- W2024886312 abstract "We present an adaptation algorithm focused on the description of the data changes under different acquisition conditions. When considering a source and a destination domain, the adaptation is carried out by transforming one data set to the other using an appropriate nonlinear deformation. The eventually nonlinear transform is based on vector quantization and graph matching. The transfer learning mapping is defined in an unsupervised manner. Once this mapping has been defined, the samples in one domain are projected onto the other, thus allowing the application of any classifier or regressor in the transformed domain. Experiments on challenging remote sensing scenarios, such as multitemporal very high resolution image classification and angular effects compensation, show the validity of the proposed method to match-related domains and enhance the application of cross-domains image processing techniques." @default.
- W2024886312 created "2016-06-24" @default.
- W2024886312 creator A5000820727 @default.
- W2024886312 creator A5005192117 @default.
- W2024886312 creator A5065733630 @default.
- W2024886312 creator A5085480844 @default.
- W2024886312 date "2013-01-01" @default.
- W2024886312 modified "2023-10-18" @default.
- W2024886312 title "Graph Matching for Adaptation in Remote Sensing" @default.
- W2024886312 cites W1742512077 @default.
- W2024886312 cites W1971105294 @default.
- W2024886312 cites W1974318365 @default.
- W2024886312 cites W1977461281 @default.
- W2024886312 cites W1983630003 @default.
- W2024886312 cites W2000454085 @default.
- W2024886312 cites W2016585964 @default.
- W2024886312 cites W2051438985 @default.
- W2024886312 cites W2070200712 @default.
- W2024886312 cites W2078478672 @default.
- W2024886312 cites W2084616221 @default.
- W2024886312 cites W2087660735 @default.
- W2024886312 cites W2099508699 @default.
- W2024886312 cites W2103699041 @default.
- W2024886312 cites W2107131609 @default.
- W2024886312 cites W2107583574 @default.
- W2024886312 cites W2109153595 @default.
- W2024886312 cites W2111282613 @default.
- W2024886312 cites W2111787810 @default.
- W2024886312 cites W2113894747 @default.
- W2024886312 cites W2114154403 @default.
- W2024886312 cites W2114425727 @default.
- W2024886312 cites W2118116484 @default.
- W2024886312 cites W2121122425 @default.
- W2024886312 cites W2121209170 @default.
- W2024886312 cites W2122253389 @default.
- W2024886312 cites W2123909695 @default.
- W2024886312 cites W2125201264 @default.
- W2024886312 cites W2127757833 @default.
- W2024886312 cites W2134722939 @default.
- W2024886312 cites W2135843276 @default.
- W2024886312 cites W2137900926 @default.
- W2024886312 cites W2140232272 @default.
- W2024886312 cites W2140996489 @default.
- W2024886312 cites W2148198942 @default.
- W2024886312 cites W2150760714 @default.
- W2024886312 cites W2152132697 @default.
- W2024886312 cites W2153094806 @default.
- W2024886312 cites W2153538582 @default.
- W2024886312 cites W2154772499 @default.
- W2024886312 cites W2155863249 @default.
- W2024886312 cites W2159874418 @default.
- W2024886312 cites W2162551958 @default.
- W2024886312 cites W2168876499 @default.
- W2024886312 cites W2169500530 @default.
- W2024886312 cites W2487087946 @default.
- W2024886312 cites W3098585936 @default.
- W2024886312 cites W4231462104 @default.
- W2024886312 cites W65738273 @default.
- W2024886312 doi "https://doi.org/10.1109/tgrs.2012.2200045" @default.
- W2024886312 hasPublicationYear "2013" @default.
- W2024886312 type Work @default.
- W2024886312 sameAs 2024886312 @default.
- W2024886312 citedByCount "86" @default.
- W2024886312 countsByYear W20248863122012 @default.
- W2024886312 countsByYear W20248863122013 @default.
- W2024886312 countsByYear W20248863122014 @default.
- W2024886312 countsByYear W20248863122015 @default.
- W2024886312 countsByYear W20248863122016 @default.
- W2024886312 countsByYear W20248863122017 @default.
- W2024886312 countsByYear W20248863122018 @default.
- W2024886312 countsByYear W20248863122019 @default.
- W2024886312 countsByYear W20248863122020 @default.
- W2024886312 countsByYear W20248863122021 @default.
- W2024886312 countsByYear W20248863122022 @default.
- W2024886312 countsByYear W20248863122023 @default.
- W2024886312 crossrefType "journal-article" @default.
- W2024886312 hasAuthorship W2024886312A5000820727 @default.
- W2024886312 hasAuthorship W2024886312A5005192117 @default.
- W2024886312 hasAuthorship W2024886312A5065733630 @default.
- W2024886312 hasAuthorship W2024886312A5085480844 @default.
- W2024886312 hasBestOaLocation W20248863122 @default.
- W2024886312 hasConcept C105795698 @default.
- W2024886312 hasConcept C121332964 @default.
- W2024886312 hasConcept C124101348 @default.
- W2024886312 hasConcept C132525143 @default.
- W2024886312 hasConcept C153180895 @default.
- W2024886312 hasConcept C154945302 @default.
- W2024886312 hasConcept C158622935 @default.
- W2024886312 hasConcept C165064840 @default.
- W2024886312 hasConcept C199833920 @default.
- W2024886312 hasConcept C2776434776 @default.
- W2024886312 hasConcept C28855332 @default.
- W2024886312 hasConcept C31972630 @default.
- W2024886312 hasConcept C33923547 @default.
- W2024886312 hasConcept C41008148 @default.
- W2024886312 hasConcept C62520636 @default.
- W2024886312 hasConcept C80444323 @default.
- W2024886312 hasConcept C95623464 @default.