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1 Ergebnisse
1
Density Peak Semi-Tied Covariance Matrices for Gaussian Mix..:
, In:
2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)
,
Li, Min
;
Wang, Guoyin
;
Yu, Zeng
... - p. 11-20 , 2024
Link:
https://doi.org/10.1109/ICCCBDA61447.2024.10569214
RT T1 <cTitle>2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)</cTitle>: T1 <Title>Density Peak Semi-Tied Covariance Matrices for Gaussian Mixture Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10569214&Exemplar=1&LAN=DE A1 Li, Min A1 Wang, Guoyin A1 Yu, Zeng A1 Wang, Hongjun A1 Wan, Jihong A1 Li, Tianrui YR 2024 SN 2832-3734 K1 Adaptation models K1 Clustering algorithms K1 Approximation algorithms K1 Mathematical models K1 Inference algorithms K1 Vectors K1 Velocity measurement K1 semi-tied covariance matrix K1 grouped parameter sharing K1 similarity of covariances K1 density peaks clustering K1 grouped fast Newton-minimum residual SP 11 OP 20 LK http://dx.doi.org/https://doi.org/10.1109/ICCCBDA61447.2024.10569214 DO https://doi.org/10.1109/ICCCBDA61447.2024.10569214 SF ELIB - SuUB Bremen
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