Data-Driven Representation Learning in Multimodal Feature Fusion
abstract: Modern machine learning systems leverage data and features from multiple modalities to gain more predictive power. In most scenarios, the modalities are vastly different and the acquired data are heterogeneous in nature. Consequently, building highly effective fusion algorithms is at the c...
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| Format: | Doctoral Thesis |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/2286/R.I.50428 |