On optimizing distributed non-negative Tucker decomposition
Author:
Affiliation:
1. IBM Research - India
2. BITS Pilani, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3330345.3330367
Reference27 articles.
1. Parallel Tensor Compression for Large-Scale Scientific Data
2. Efficient MATLAB Computations with Sparse and Factored Tensors
3. G. Ballard K. Hayashi and R. Kannan. Parallel nonnegative CP decomposition of dense tensors. arXiv preprint arXiv:1806.07985 2018. G. Ballard K. Hayashi and R. Kannan. Parallel nonnegative CP decomposition of dense tensors. arXiv preprint arXiv:1806.07985 2018.
4. Efficient and scalable computations with sparse tensors
5. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition
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