Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308462854> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4308462854 endingPage "109156" @default.
- W4308462854 startingPage "109156" @default.
- W4308462854 abstract "Multi-label learning on real-world data is a challenging task due to sparse labels, missing labels, and sparse structures. Some existing approaches are effective in addressing the former two issues. In this paper, we propose a shared weight matrix with low-rank and sparse regularization for multi-label learning (2SML) algorithm to address the issues simultaneously. First, two explicit correlation matrices are constructed from the feature matrix and label matrix. Second, we select informative labels by instance representativeness to learn implicit correlations. Third, a feature manifold and label manifold are employed to guide the shared weight learning process. Extensive experiments are undertaken on multiple benchmark datasets with and without missing labels. The results show that the proposed method outperforms the state-of-the-art methods." @default.
- W4308462854 created "2022-11-12" @default.
- W4308462854 creator A5018381716 @default.
- W4308462854 creator A5043558491 @default.
- W4308462854 creator A5049612719 @default.
- W4308462854 creator A5066188490 @default.
- W4308462854 date "2023-04-01" @default.
- W4308462854 modified "2023-10-17" @default.
- W4308462854 title "Weight matrix sharing for multi-label learning" @default.
- W4308462854 cites W1972490990 @default.
- W4308462854 cites W1999954155 @default.
- W4308462854 cites W2029517229 @default.
- W4308462854 cites W2052684427 @default.
- W4308462854 cites W2090630554 @default.
- W4308462854 cites W2100556411 @default.
- W4308462854 cites W2103972604 @default.
- W4308462854 cites W2116373735 @default.
- W4308462854 cites W2156935079 @default.
- W4308462854 cites W2165835468 @default.
- W4308462854 cites W2519969774 @default.
- W4308462854 cites W2605997098 @default.
- W4308462854 cites W2800615729 @default.
- W4308462854 cites W2938834426 @default.
- W4308462854 cites W2948768062 @default.
- W4308462854 cites W2988566768 @default.
- W4308462854 cites W3088016422 @default.
- W4308462854 cites W4281720556 @default.
- W4308462854 doi "https://doi.org/10.1016/j.patcog.2022.109156" @default.
- W4308462854 hasPublicationYear "2023" @default.
- W4308462854 type Work @default.
- W4308462854 citedByCount "3" @default.
- W4308462854 countsByYear W43084628542023 @default.
- W4308462854 crossrefType "journal-article" @default.
- W4308462854 hasAuthorship W4308462854A5018381716 @default.
- W4308462854 hasAuthorship W4308462854A5043558491 @default.
- W4308462854 hasAuthorship W4308462854A5049612719 @default.
- W4308462854 hasAuthorship W4308462854A5066188490 @default.
- W4308462854 hasConcept C106487976 @default.
- W4308462854 hasConcept C119857082 @default.
- W4308462854 hasConcept C121332964 @default.
- W4308462854 hasConcept C13280743 @default.
- W4308462854 hasConcept C138885662 @default.
- W4308462854 hasConcept C153180895 @default.
- W4308462854 hasConcept C154945302 @default.
- W4308462854 hasConcept C159985019 @default.
- W4308462854 hasConcept C163716315 @default.
- W4308462854 hasConcept C185798385 @default.
- W4308462854 hasConcept C192562407 @default.
- W4308462854 hasConcept C205649164 @default.
- W4308462854 hasConcept C2776135515 @default.
- W4308462854 hasConcept C2776401178 @default.
- W4308462854 hasConcept C41008148 @default.
- W4308462854 hasConcept C41895202 @default.
- W4308462854 hasConcept C56372850 @default.
- W4308462854 hasConcept C62520636 @default.
- W4308462854 hasConceptScore W4308462854C106487976 @default.
- W4308462854 hasConceptScore W4308462854C119857082 @default.
- W4308462854 hasConceptScore W4308462854C121332964 @default.
- W4308462854 hasConceptScore W4308462854C13280743 @default.
- W4308462854 hasConceptScore W4308462854C138885662 @default.
- W4308462854 hasConceptScore W4308462854C153180895 @default.
- W4308462854 hasConceptScore W4308462854C154945302 @default.
- W4308462854 hasConceptScore W4308462854C159985019 @default.
- W4308462854 hasConceptScore W4308462854C163716315 @default.
- W4308462854 hasConceptScore W4308462854C185798385 @default.
- W4308462854 hasConceptScore W4308462854C192562407 @default.
- W4308462854 hasConceptScore W4308462854C205649164 @default.
- W4308462854 hasConceptScore W4308462854C2776135515 @default.
- W4308462854 hasConceptScore W4308462854C2776401178 @default.
- W4308462854 hasConceptScore W4308462854C41008148 @default.
- W4308462854 hasConceptScore W4308462854C41895202 @default.
- W4308462854 hasConceptScore W4308462854C56372850 @default.
- W4308462854 hasConceptScore W4308462854C62520636 @default.
- W4308462854 hasLocation W43084628541 @default.
- W4308462854 hasOpenAccess W4308462854 @default.
- W4308462854 hasPrimaryLocation W43084628541 @default.
- W4308462854 hasRelatedWork W112744582 @default.
- W4308462854 hasRelatedWork W1485630101 @default.
- W4308462854 hasRelatedWork W2356017157 @default.
- W4308462854 hasRelatedWork W2382607599 @default.
- W4308462854 hasRelatedWork W2498017833 @default.
- W4308462854 hasRelatedWork W2546942002 @default.
- W4308462854 hasRelatedWork W2961085424 @default.
- W4308462854 hasRelatedWork W2970216048 @default.
- W4308462854 hasRelatedWork W4306674287 @default.
- W4308462854 hasRelatedWork W4224009465 @default.
- W4308462854 hasVolume "136" @default.
- W4308462854 isParatext "false" @default.
- W4308462854 isRetracted "false" @default.
- W4308462854 workType "article" @default.