Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385399053> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4385399053 endingPage "704" @default.
- W4385399053 startingPage "691" @default.
- W4385399053 abstract "Hypergraph is a vital relationship modeling tool applied to many learning tasks. Compared with the common graph, the hypergraph can model the high-order relationship among more than two data samples. Thus, hypergraph provides more flexibility and the capability of modeling complex data correlations. However, real-world image data inevitably lie on or close to a thin layer of a manifold while containing the noise component. The practical image data influence the hypergraph learning procedure, subsequently resulting in a notable performance deterioration. To this end, we propose a novel Hessian non-negative hypergraph model. Specifically, the Hessian energy regularized non-negative constrained data reconstruction is used to generate manifold-respecting and noise resistant hyperedges. The extensive experiments on the benchmark image datasets demonstrate that the proposed hypergraph model can significantly enhance the learning performance of the hypergraph-based image clustering and classification." @default.
- W4385399053 created "2023-07-31" @default.
- W4385399053 creator A5008719586 @default.
- W4385399053 creator A5020278841 @default.
- W4385399053 creator A5036950222 @default.
- W4385399053 creator A5077920175 @default.
- W4385399053 creator A5085352453 @default.
- W4385399053 date "2023-01-01" @default.
- W4385399053 modified "2023-10-16" @default.
- W4385399053 title "Hessian Non-negative Hypergraph" @default.
- W4385399053 cites W1984418932 @default.
- W4385399053 cites W1994761691 @default.
- W4385399053 cites W2006904655 @default.
- W4385399053 cites W2051090063 @default.
- W4385399053 cites W2066705378 @default.
- W4385399053 cites W2143685245 @default.
- W4385399053 cites W2165423399 @default.
- W4385399053 cites W2462037541 @default.
- W4385399053 cites W2515904052 @default.
- W4385399053 cites W2737032940 @default.
- W4385399053 cites W2888975113 @default.
- W4385399053 cites W2899963518 @default.
- W4385399053 cites W2904347197 @default.
- W4385399053 cites W2908322374 @default.
- W4385399053 cites W2922118332 @default.
- W4385399053 cites W3122665668 @default.
- W4385399053 cites W3134119092 @default.
- W4385399053 cites W4385377045 @default.
- W4385399053 doi "https://doi.org/10.1007/978-981-99-4761-4_58" @default.
- W4385399053 hasPublicationYear "2023" @default.
- W4385399053 type Work @default.
- W4385399053 citedByCount "0" @default.
- W4385399053 crossrefType "book-chapter" @default.
- W4385399053 hasAuthorship W4385399053A5008719586 @default.
- W4385399053 hasAuthorship W4385399053A5020278841 @default.
- W4385399053 hasAuthorship W4385399053A5036950222 @default.
- W4385399053 hasAuthorship W4385399053A5077920175 @default.
- W4385399053 hasAuthorship W4385399053A5085352453 @default.
- W4385399053 hasConcept C11413529 @default.
- W4385399053 hasConcept C115961682 @default.
- W4385399053 hasConcept C118615104 @default.
- W4385399053 hasConcept C124101348 @default.
- W4385399053 hasConcept C132525143 @default.
- W4385399053 hasConcept C13280743 @default.
- W4385399053 hasConcept C153180895 @default.
- W4385399053 hasConcept C154945302 @default.
- W4385399053 hasConcept C185798385 @default.
- W4385399053 hasConcept C203616005 @default.
- W4385399053 hasConcept C205649164 @default.
- W4385399053 hasConcept C2781221856 @default.
- W4385399053 hasConcept C28826006 @default.
- W4385399053 hasConcept C33923547 @default.
- W4385399053 hasConcept C41008148 @default.
- W4385399053 hasConcept C73555534 @default.
- W4385399053 hasConcept C80444323 @default.
- W4385399053 hasConcept C99498987 @default.
- W4385399053 hasConceptScore W4385399053C11413529 @default.
- W4385399053 hasConceptScore W4385399053C115961682 @default.
- W4385399053 hasConceptScore W4385399053C118615104 @default.
- W4385399053 hasConceptScore W4385399053C124101348 @default.
- W4385399053 hasConceptScore W4385399053C132525143 @default.
- W4385399053 hasConceptScore W4385399053C13280743 @default.
- W4385399053 hasConceptScore W4385399053C153180895 @default.
- W4385399053 hasConceptScore W4385399053C154945302 @default.
- W4385399053 hasConceptScore W4385399053C185798385 @default.
- W4385399053 hasConceptScore W4385399053C203616005 @default.
- W4385399053 hasConceptScore W4385399053C205649164 @default.
- W4385399053 hasConceptScore W4385399053C2781221856 @default.
- W4385399053 hasConceptScore W4385399053C28826006 @default.
- W4385399053 hasConceptScore W4385399053C33923547 @default.
- W4385399053 hasConceptScore W4385399053C41008148 @default.
- W4385399053 hasConceptScore W4385399053C73555534 @default.
- W4385399053 hasConceptScore W4385399053C80444323 @default.
- W4385399053 hasConceptScore W4385399053C99498987 @default.
- W4385399053 hasLocation W43853990531 @default.
- W4385399053 hasOpenAccess W4385399053 @default.
- W4385399053 hasPrimaryLocation W43853990531 @default.
- W4385399053 hasRelatedWork W1485630101 @default.
- W4385399053 hasRelatedWork W1997086435 @default.
- W4385399053 hasRelatedWork W2000749863 @default.
- W4385399053 hasRelatedWork W2059373343 @default.
- W4385399053 hasRelatedWork W2786518436 @default.
- W4385399053 hasRelatedWork W2945365184 @default.
- W4385399053 hasRelatedWork W2954964309 @default.
- W4385399053 hasRelatedWork W2971267355 @default.
- W4385399053 hasRelatedWork W3201683003 @default.
- W4385399053 hasRelatedWork W4383860413 @default.
- W4385399053 isParatext "false" @default.
- W4385399053 isRetracted "false" @default.
- W4385399053 workType "book-chapter" @default.