Incremental Hierarchical Tucker Decomposition
D Aksoy, AA Gorodetsky - arXiv preprint arXiv:2412.16544, 2024 - arxiv.org
We present two new algorithms for approximating and updating the hierarchical Tucker
decomposition of tensor streams. The first algorithm, Batch Hierarchical Tucker-leaf to root …
decomposition of tensor streams. The first algorithm, Batch Hierarchical Tucker-leaf to root …
Hybrid Parallel Tucker Decomposition of Streaming Data
Tensor decompositions have emerged as powerful tools of multivariate data analysis,
providing the foundation of numerous analysis methods. The Tucker decomposition in …
providing the foundation of numerous analysis methods. The Tucker decomposition in …
Low-Rank Matrix and Tensor Models for Data Science Applications
JM Myers - 2024 - search.proquest.com
Low-rank approximations play an important role in data science analysis and applications.
When the model is linear and the data is represented as a matrix, the optimal rank-r …
When the model is linear and the data is represented as a matrix, the optimal rank-r …