Dr Jingjing Deng jingjing.deng@durham.ac.uk
Assistant Professor
Combining stacked denoising autoencoders and random forests for face detection
Deng, Jingjing; Xie, Xianghua; Edwards, Michael
Authors
Xianghua Xie
Michael Edwards
Citation
Deng, J., Xie, X., & Edwards, M. (2016). Combining stacked denoising autoencoders and random forests for face detection. . https://doi.org/10.1007/978-3-319-48680-2_31
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | International Conference on Advanced Concepts for Intelligent Vision Systems Springer |
Publication Date | 2016 |
Deposit Date | Nov 3, 2022 |
Pages | 349-360 |
DOI | https://doi.org/10.1007/978-3-319-48680-2_31 |
Public URL | https://durham-repository.worktribe.com/output/1135119 |
You might also like
Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation
(2024)
Presentation / Conference Contribution
A survey on vulnerability of federated learning: A learning algorithm perspective
(2024)
Journal Article
An Element-Wise Weights Aggregation Method for Federated Learning
(2023)
Presentation / Conference Contribution
FedBoosting: Federated learning with gradient protected boosting for text recognition
(2023)
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