A Deep Neural Network Optimization Framework Based on Optimal Transport Bridge Feature Selection and Sparse Representation.
- DOI
- 10.1109/tnnls.2026.3678220
- Published
- 2026 Apr 17
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- no
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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 = {Lan G and Xiao S and Wen J and Yang J and Lu W and Li B and Meng Q and Gao X},
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 - Lan G AU - Xiao S AU - Wen J AU - Yang J AU - Lu W AU - Li B AU - Meng Q AU - Gao X 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
G, L., S, X., J, W., J, Y., W, L., B, L., Q, M., & X, G. (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
- pubmed · retrieved 2026-09-25T16:29:22.366Z
- europe-pmc · retrieved 2026-09-25T16:29:22.386Z