Theoretical and Performance Analysis for Integrated Randomized Singular Value Decomposition
碩士 === 國立臺灣大學 === 應用數學科學研究所 === 105 === Dimension reduction and feature extraction are the important techniques in the big-data era to reduce the dimension of data and the computational cost for further data analysis. Low-rank singular value decomposition (low-rank SVD) is the key part of these tech...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2017
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/8k8nk9 |