Supervised target data hashing with domain adaptation
In many real-world applications, the ability of knowledge transfer is required everywhere, which leads to a dramatic increase of the research interests targeting on cross domain learning. When a large amount of labeled data is required for training a model, one feasible solution is to reuse knowledg...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2018
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| Online Access: | http://hdl.handle.net/10356/73945 |