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1 Ergebnisse
1
Inconsistency Distillation For Consistency:Enhancing Multi-..:
, In:
2022 IEEE International Conference on Data Mining (ICDM)
,
Liu, Dunqiang
;
Peng, Shu-Juan
;
Liu, Xin
... - p. 251-258 , 2022
Link:
https://doi.org/10.1109/ICDM54844.2022.00035
RT T1 <cTitle>2022 IEEE International Conference on Data Mining (ICDM)</cTitle>: T1 <Title>Inconsistency Distillation For Consistency:Enhancing Multi-View Clustering via Mutual Contrastive Teacher-Student Leaning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10027756&Exemplar=1&LAN=DE A1 Liu, Dunqiang A1 Peng, Shu-Juan A1 Liu, Xin A1 Zhu, Lei A1 Cui, Zhen A1 Li, Taihao YR 2022 SN 2374-8486 K1 Training K1 Learning systems K1 Clustering methods K1 Semantics K1 Encoding K1 Data mining K1 Multi-view clustering K1 inconsistency distillation K1 cross-view contrastive learning K1 mutual teacher-student learning SP 251 OP 258 LK http://dx.doi.org/https://doi.org/10.1109/ICDM54844.2022.00035 DO https://doi.org/10.1109/ICDM54844.2022.00035 SF ELIB - SuUB Bremen
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