Discriminative Reconstructions Learning for Outlier Detection Using Autoencoders
碩士 === 國立臺灣大學 === 電機工程學研究所 === 105 === Outlier detection aims to find the instances that are very different from the defined normal instances in a given dataset. Autoencoders are effective tools for outlier detection by utilizing the reconstruction errors, that is, the outliers have relatively large...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/14890683090265046689 |