DisMASTD: An Efficient Distributed Multi-Aspect Streaming Tensor Decomposition
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9458599/9458600/09458848.pdf?arnumber=9458848
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. DisMASTD: An Efficient Distributed Multi-Aspect Streaming Tensor Decomposition (Poster Abstract);Proceedings of the ACM Turing Award Celebration Conference - China 2023;2023-07-28
2. Dynamic Tensor Linearization and Time Slicing for Efficient Factorization of Infinite Data Streams;2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2023-05
3. Exploiting Hierarchical Parallelism and Reusability in Tensor Kernel Processing on Heterogeneous HPC Systems;2022 IEEE 38th International Conference on Data Engineering (ICDE);2022-05
4. A Contemporary and Comprehensive Survey on Streaming Tensor Decomposition;IEEE Transactions on Knowledge and Data Engineering;2022
5. Tensor decision trees for continual learning from drifting data streams;Machine Learning;2021-09-24
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