A Deep Neural Network Optimization Framework Based on Optimal Transport Bridge Feature Selection and Sparse Representation
- DOI
- 10.1109/tnnls.2026.3678220
- Published
- 2026-10
- Container
- IEEE Transactions on Neural Networks and Learning Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3678220,
title = {A Deep Neural Network Optimization Framework Based on Optimal Transport Bridge Feature Selection and Sparse Representation},
author = {Guipeng Lan and Shuai Xiao and Jiabao Wen and Jiachen Yang and Wen Lu and Baihua Li and Qinggang Meng and Xinbo Gao},
year = {2026},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
doi = {10.1109/tnnls.2026.3678220},
url = {https://doi.org/10.1109/tnnls.2026.3678220}
}RIS
TY - JOUR TI - A Deep Neural Network Optimization Framework Based on Optimal Transport Bridge Feature Selection and Sparse Representation AU - Guipeng Lan AU - Shuai Xiao AU - Jiabao Wen AU - Jiachen Yang AU - Wen Lu AU - Baihua Li AU - Qinggang Meng AU - Xinbo Gao PY - 2026 JO - IEEE Transactions on Neural Networks and Learning Systems DO - 10.1109/tnnls.2026.3678220 UR - https://doi.org/10.1109/tnnls.2026.3678220 ER -
APA
Lan, G., Xiao, S., Wen, J., Yang, J., Lu, W., Li, B., Meng, Q., & Gao, X. (2026). A Deep Neural Network Optimization Framework Based on Optimal Transport Bridge Feature Selection and Sparse Representation. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2026.3678220
Source records
- crossref · retrieved 2026-11-10T13:09:10.625Z