Feature representation and learning methods in visual search applications
This thesis studies and develops various image feature representation and learning methods for visual search applications. We study both handcrafted features as well as deep learning based representations. Handcrafted features based methods are light-weight and do not require large training data. Ho...
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| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | https://hdl.handle.net/10356/81689 http://hdl.handle.net/10220/47995 |