Generative neural network for emotion recognition
Recognising affect from visual data has long been a research interest. However, annota- tions of affect in images/videos are expensive to acquire and current datasets all have limitations of either being too small or containing imbalanced affect classes. . In other at- tempts of data augmentation fo...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/77200 |