xTML : a unified heterogeneous transfer metric learning framework for multimedia applications [application notes]
Owing to the continual growth of multimodal data (or feature spaces), we have seen a rising interest in multimedia applications (e.g., object classification and searching) over these heterogeneous data. However, the accuracy of classification and searching tasks is highly dependent on the distance e...
| Päätekijät: | , , , , , |
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| Muut tekijät: | |
| Aineistotyyppi: | Journal Article |
| Kieli: | English |
| Julkaistu: |
2021
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| Aiheet: | |
| Linkit: | https://hdl.handle.net/10356/154429 |