Congying Guan
Enhancing apparel data based on fashion theory for developing a novel apparel style recommendation system
Guan, Congying; Qin, Shengfeng; Ling, Wessie; Long, Yang
Citation
Guan, C., Qin, S., Ling, W., & Long, Y. (2018, December). Enhancing apparel data based on fashion theory for developing a novel apparel style recommendation system. Presented at World Conference on Information Systems and Technologies Springer, Cham
| Presentation Conference Type | Conference Paper (published) |
|---|---|
| Conference Name | World Conference on Information Systems and Technologies Springer, Cham |
| Publication Date | 2018 |
| Deposit Date | Sep 1, 2019 |
| Pages | 31-40 |
| Public URL | https://durham-repository.worktribe.com/output/1142071 |
You might also like
EfficientTDNN: Efficient Architecture Search for Speaker Recognition
(2022)
Journal Article
Kernelized distance learning for zero-shot recognition
(2021)
Journal Article
A plug-in attribute correction module for generalized zero-shot learning
(2020)
Journal Article
Semantic combined network for zero-shot scene parsing
(2019)
Journal Article
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