Feature representation for large scale classification
Feature representation plays the center role for classification. The extraction of knowledge in data, whether through pre-defined functions or procedures, or through learned projection matrices or neural networks, is crucial for the success of a large scale classification system. In this dissertatio...
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| 格式: | Theses and Dissertations |
| 語言: | English |
| 出版: |
2016
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/66203 |
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