Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation
- DOI
- 10.1109/tpami.2026.3705778
- Published
- 2026-10
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3705778,
title = {Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation},
author = {Kun Fang and Qinghua Tao and Mingzhen He and Kexin Lv and Runze Yang and Haibo Hu and Xiaolin Huang and Jie Yang and Longbing Cao},
year = {2026},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2026.3705778},
url = {https://doi.org/10.1109/tpami.2026.3705778}
}RIS
TY - JOUR TI - Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation AU - Kun Fang AU - Qinghua Tao AU - Mingzhen He AU - Kexin Lv AU - Runze Yang AU - Haibo Hu AU - Xiaolin Huang AU - Jie Yang AU - Longbing Cao PY - 2026 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2026.3705778 UR - https://doi.org/10.1109/tpami.2026.3705778 ER -
APA
Fang, K., Tao, Q., He, M., Lv, K., Yang, R., Hu, H., Huang, X., Yang, J., & Cao, L. (2026). Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3705778
Source records
- crossref · retrieved 2026-09-25T00:19:11.043Z