Matches in SemOpenAlex for { <https://semopenalex.org/work/W1570442965> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W1570442965 abstract "Machine Learning techniques play an increasingly vital role in the analysis of Biomedical imagery, as in all other areas of Computer Vision. However, in this specific context, they suffer from the fact that experimental conditions and protocols change often and that acquiring sufficient amounts of new training data after each image acquisition is impractical. In this paper, we propose an effective method to train a non-linear SVM using a very small amount of new data by leveraging data obtained under different conditions. Unlike earlier approaches, ours takes full advantage of the kernelized SVM formulation, does not depend on a loss function that is sensitive to outliers, and yields a quadratic optimization problem. We demonstrate its effectiveness for the purpose of classifying pixels in electron microscope image stacks and delineating linear structures in optical microscopy and retinal scans. Our method outperforms two state-of-the-art transfer-learning approaches in terms of accuracy and computational complexity." @default.
- W1570442965 created "2016-06-24" @default.
- W1570442965 creator A5038674741 @default.
- W1570442965 creator A5049252047 @default.
- W1570442965 creator A5067030112 @default.
- W1570442965 date "2012-01-01" @default.
- W1570442965 modified "2023-09-26" @default.
- W1570442965 title "Transfer Learning by Sharing Support Vectors" @default.
- W1570442965 cites W1576445103 @default.
- W1570442965 cites W1965637518 @default.
- W1570442965 cites W1988348003 @default.
- W1570442965 cites W2003543060 @default.
- W1570442965 cites W2019319323 @default.
- W1570442965 cites W2053802831 @default.
- W1570442965 cites W2090923791 @default.
- W1570442965 cites W2116650673 @default.
- W1570442965 cites W2118246710 @default.
- W1570442965 cites W2122156965 @default.
- W1570442965 cites W2128053425 @default.
- W1570442965 cites W2129416674 @default.
- W1570442965 cites W2143104527 @default.
- W1570442965 cites W2144752499 @default.
- W1570442965 cites W2149676790 @default.
- W1570442965 cites W2150769593 @default.
- W1570442965 cites W2161926992 @default.
- W1570442965 cites W2165698076 @default.
- W1570442965 cites W2296319761 @default.
- W1570442965 hasPublicationYear "2012" @default.
- W1570442965 type Work @default.
- W1570442965 sameAs 1570442965 @default.
- W1570442965 citedByCount "4" @default.
- W1570442965 countsByYear W15704429652015 @default.
- W1570442965 countsByYear W15704429652017 @default.
- W1570442965 countsByYear W15704429652018 @default.
- W1570442965 crossrefType "journal-article" @default.
- W1570442965 hasAuthorship W1570442965A5038674741 @default.
- W1570442965 hasAuthorship W1570442965A5049252047 @default.
- W1570442965 hasAuthorship W1570442965A5067030112 @default.
- W1570442965 hasConcept C115961682 @default.
- W1570442965 hasConcept C119857082 @default.
- W1570442965 hasConcept C12267149 @default.
- W1570442965 hasConcept C150899416 @default.
- W1570442965 hasConcept C151730666 @default.
- W1570442965 hasConcept C153180895 @default.
- W1570442965 hasConcept C154945302 @default.
- W1570442965 hasConcept C160633673 @default.
- W1570442965 hasConcept C2779343474 @default.
- W1570442965 hasConcept C31972630 @default.
- W1570442965 hasConcept C41008148 @default.
- W1570442965 hasConcept C79337645 @default.
- W1570442965 hasConcept C86803240 @default.
- W1570442965 hasConceptScore W1570442965C115961682 @default.
- W1570442965 hasConceptScore W1570442965C119857082 @default.
- W1570442965 hasConceptScore W1570442965C12267149 @default.
- W1570442965 hasConceptScore W1570442965C150899416 @default.
- W1570442965 hasConceptScore W1570442965C151730666 @default.
- W1570442965 hasConceptScore W1570442965C153180895 @default.
- W1570442965 hasConceptScore W1570442965C154945302 @default.
- W1570442965 hasConceptScore W1570442965C160633673 @default.
- W1570442965 hasConceptScore W1570442965C2779343474 @default.
- W1570442965 hasConceptScore W1570442965C31972630 @default.
- W1570442965 hasConceptScore W1570442965C41008148 @default.
- W1570442965 hasConceptScore W1570442965C79337645 @default.
- W1570442965 hasConceptScore W1570442965C86803240 @default.
- W1570442965 hasLocation W15704429651 @default.
- W1570442965 hasOpenAccess W1570442965 @default.
- W1570442965 hasPrimaryLocation W15704429651 @default.
- W1570442965 hasRelatedWork W1162227652 @default.
- W1570442965 hasRelatedWork W118683668 @default.
- W1570442965 hasRelatedWork W1574066498 @default.
- W1570442965 hasRelatedWork W2007726935 @default.
- W1570442965 hasRelatedWork W2043228833 @default.
- W1570442965 hasRelatedWork W2094286293 @default.
- W1570442965 hasRelatedWork W2127997884 @default.
- W1570442965 hasRelatedWork W2145709622 @default.
- W1570442965 hasRelatedWork W2146691973 @default.
- W1570442965 hasRelatedWork W2150210531 @default.
- W1570442965 hasRelatedWork W2165698076 @default.
- W1570442965 hasRelatedWork W2513638114 @default.
- W1570442965 hasRelatedWork W2969789619 @default.
- W1570442965 hasRelatedWork W3013441941 @default.
- W1570442965 hasRelatedWork W3040019407 @default.
- W1570442965 hasRelatedWork W3116321482 @default.
- W1570442965 hasRelatedWork W3136777491 @default.
- W1570442965 hasRelatedWork W3148401955 @default.
- W1570442965 hasRelatedWork W3163883647 @default.
- W1570442965 hasRelatedWork W3180112443 @default.
- W1570442965 isParatext "false" @default.
- W1570442965 isRetracted "false" @default.
- W1570442965 magId "1570442965" @default.
- W1570442965 workType "article" @default.