Matches in SemOpenAlex for { <https://semopenalex.org/work/W2586098407> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2586098407 endingPage "339" @default.
- W2586098407 startingPage "328" @default.
- W2586098407 abstract "Support vector data description (SVDD) is a leading classification method for novelty detection, which minimizes the volume of a spherically shaped decision boundary around the normal class. While SVDD has achieved promising performance, it will lead to a loose boundary for multivariate datasets of which the input dimensions are usually correlated. Inspired by the relationship between kernel principal component analysis (kernel PCA) and the best-fit ellipsoid for a dataset, this study proposes the ellipsoidal data description (ELPDD) which considers feature variance of each dimension adaptively. A minimum volume enclosing ellipsoid (MVEE) is constructed around the target data in the kernel PCA subspace which can be learned via a SVM-like objective function with log-determinant penalty. We also provide the Rademacher complexity bound for our model. Some relating problems are investigated in detail. Experiments on artificial and real-world datasets validate the effectiveness of our method." @default.
- W2586098407 created "2017-02-17" @default.
- W2586098407 creator A5044490010 @default.
- W2586098407 creator A5074530508 @default.
- W2586098407 date "2017-05-01" @default.
- W2586098407 modified "2023-10-15" @default.
- W2586098407 title "Ellipsoidal data description" @default.
- W2586098407 cites W1970088130 @default.
- W2586098407 cites W1984432065 @default.
- W2586098407 cites W1996836193 @default.
- W2586098407 cites W2021332099 @default.
- W2586098407 cites W2056124912 @default.
- W2586098407 cites W2100294832 @default.
- W2586098407 cites W2102677843 @default.
- W2586098407 cites W2103850956 @default.
- W2586098407 cites W2132870739 @default.
- W2586098407 cites W2140095548 @default.
- W2586098407 cites W2158713176 @default.
- W2586098407 cites W2795487203 @default.
- W2586098407 cites W4239510810 @default.
- W2586098407 doi "https://doi.org/10.1016/j.neucom.2017.01.070" @default.
- W2586098407 hasPublicationYear "2017" @default.
- W2586098407 type Work @default.
- W2586098407 sameAs 2586098407 @default.
- W2586098407 citedByCount "6" @default.
- W2586098407 countsByYear W25860984072018 @default.
- W2586098407 countsByYear W25860984072019 @default.
- W2586098407 countsByYear W25860984072020 @default.
- W2586098407 countsByYear W25860984072023 @default.
- W2586098407 crossrefType "journal-article" @default.
- W2586098407 hasAuthorship W2586098407A5044490010 @default.
- W2586098407 hasAuthorship W2586098407A5074530508 @default.
- W2586098407 hasConcept C114614502 @default.
- W2586098407 hasConcept C121332964 @default.
- W2586098407 hasConcept C122280245 @default.
- W2586098407 hasConcept C12267149 @default.
- W2586098407 hasConcept C1276947 @default.
- W2586098407 hasConcept C134306372 @default.
- W2586098407 hasConcept C138885662 @default.
- W2586098407 hasConcept C153180895 @default.
- W2586098407 hasConcept C154945302 @default.
- W2586098407 hasConcept C182335926 @default.
- W2586098407 hasConcept C202444582 @default.
- W2586098407 hasConcept C27206212 @default.
- W2586098407 hasConcept C27438332 @default.
- W2586098407 hasConcept C2778738651 @default.
- W2586098407 hasConcept C2778924833 @default.
- W2586098407 hasConcept C32834561 @default.
- W2586098407 hasConcept C33676613 @default.
- W2586098407 hasConcept C33923547 @default.
- W2586098407 hasConcept C41008148 @default.
- W2586098407 hasConcept C42023084 @default.
- W2586098407 hasConcept C57489055 @default.
- W2586098407 hasConcept C62354387 @default.
- W2586098407 hasConcept C74193536 @default.
- W2586098407 hasConceptScore W2586098407C114614502 @default.
- W2586098407 hasConceptScore W2586098407C121332964 @default.
- W2586098407 hasConceptScore W2586098407C122280245 @default.
- W2586098407 hasConceptScore W2586098407C12267149 @default.
- W2586098407 hasConceptScore W2586098407C1276947 @default.
- W2586098407 hasConceptScore W2586098407C134306372 @default.
- W2586098407 hasConceptScore W2586098407C138885662 @default.
- W2586098407 hasConceptScore W2586098407C153180895 @default.
- W2586098407 hasConceptScore W2586098407C154945302 @default.
- W2586098407 hasConceptScore W2586098407C182335926 @default.
- W2586098407 hasConceptScore W2586098407C202444582 @default.
- W2586098407 hasConceptScore W2586098407C27206212 @default.
- W2586098407 hasConceptScore W2586098407C27438332 @default.
- W2586098407 hasConceptScore W2586098407C2778738651 @default.
- W2586098407 hasConceptScore W2586098407C2778924833 @default.
- W2586098407 hasConceptScore W2586098407C32834561 @default.
- W2586098407 hasConceptScore W2586098407C33676613 @default.
- W2586098407 hasConceptScore W2586098407C33923547 @default.
- W2586098407 hasConceptScore W2586098407C41008148 @default.
- W2586098407 hasConceptScore W2586098407C42023084 @default.
- W2586098407 hasConceptScore W2586098407C57489055 @default.
- W2586098407 hasConceptScore W2586098407C62354387 @default.
- W2586098407 hasConceptScore W2586098407C74193536 @default.
- W2586098407 hasFunder F4320321001 @default.
- W2586098407 hasLocation W25860984071 @default.
- W2586098407 hasOpenAccess W2586098407 @default.
- W2586098407 hasPrimaryLocation W25860984071 @default.
- W2586098407 hasRelatedWork W1984421104 @default.
- W2586098407 hasRelatedWork W1985034083 @default.
- W2586098407 hasRelatedWork W1998640076 @default.
- W2586098407 hasRelatedWork W2001772920 @default.
- W2586098407 hasRelatedWork W2393746448 @default.
- W2586098407 hasRelatedWork W2398887903 @default.
- W2586098407 hasRelatedWork W2512565647 @default.
- W2586098407 hasRelatedWork W2534878021 @default.
- W2586098407 hasRelatedWork W2905418897 @default.
- W2586098407 hasRelatedWork W3093470103 @default.
- W2586098407 hasVolume "238" @default.
- W2586098407 isParatext "false" @default.
- W2586098407 isRetracted "false" @default.
- W2586098407 magId "2586098407" @default.
- W2586098407 workType "article" @default.