Congying Guan
Apparel-based deep learning system design for apparel style recommendation
Guan, Congying; Qin, Shengfeng; Long, Yang
Citation
Guan, C., Qin, S., & Long, Y. (2019). Apparel-based deep learning system design for apparel style recommendation. International Journal of Clothing Science and Technology, 31(3), 376-389. https://doi.org/10.1108/ijcst-02-2018-0019
| Journal Article Type | Article |
|---|---|
| Publication Date | 2019 |
| Deposit Date | Aug 31, 2019 |
| Journal | International Journal of Clothing Science and Technology |
| Print ISSN | 0955-6222 |
| Publisher | Emerald |
| Volume | 31 |
| Issue | 3 |
| Pages | 376-389 |
| DOI | https://doi.org/10.1108/ijcst-02-2018-0019 |
| Public URL | https://durham-repository.worktribe.com/output/1289265 |
You might also like
Improving Health Mention Classification through Emphasising Literal Meanings: a Study Towards Diversity and Generalisation for Public Health Surveillance
(2023)
Presentation / Conference Contribution
Towards light-weight annotations: Fuzzy interpolative reasoning for zero-shot image classification
(2018)
Presentation / Conference Contribution
Towards affordable semantic searching: Zero-shot retrieval via dominant attributes
(2018)
Presentation / Conference Contribution
Attribute embedding with visual-semantic ambiguity removal for zero-shot learning
(2016)
Presentation / Conference Contribution
A General Transductive Regularizer for Zero-Shot Learning
(2019)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search