On Multilinear Principal Component Analysis of Order-Two Tensors With Application to Electron Microscopy Images
碩士 === 國立臺灣大學 === 數學研究所 === 99 === In statistics, dimension reduction is a process of reducing the number of random variables under consideration, and can be divided into feature selection and feature extraction. Principal component analysis (PCA) belongs to the latter category. Traditional linear t...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/37300228131827098684 |