Name
Abstract | ||
|---|---|---|
The TensorD toolbox is a Python tensor library built on TensorFlow. It provides tensor decomposition methods as well as basic tensor operations. In addition, other features of TensorD include GPU compatibility, high modularity of structure, and open source. It facilitate the practice of tensor methods in computer vision, deep learning and other related research fields. The TensorD toolbox is available at https://github.com/Large-Scale-Tensor-Decomposition/tensorD. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.neucom.2018.08.055 | Neurocomputing |
Keywords | Field | DocType |
Tensor decomposition,Multi-way analysis,Tensor toolbox | Programming language,Compatibility (mechanics),Tensor,Toolbox,Artificial intelligence,Deep learning,Python (programming language),Modularity,Mathematics,Machine learning,Tensor decomposition | Journal |
Volume | ISSN | Citations |
318 | 0925-2312 | 2 |
PageRank | References | Authors |
0.39 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liyang Hao | 1 | 2 | 0.39 |
| Siqi Liang | 2 | 2 | 0.39 |
| Jinmian Ye | 3 | 21 | 2.41 |
| Zenglin Xu | 4 | 97 | 3.97 |