ML Anthology

Learning a Multi-Size Patch-Based Hybrid Kernel Machine Ensemble for Abnormal Region Detection in Colonoscopic Images

Peng Li, Kap Luk Chan, Shankar Muthu Krishnan
CVPR 2005 pp. 670-675
doi:10.1109/CVPR.2005.201 /cvpr/2005/li2005cvpr-learning/
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Cite

Text

Li et al. "Learning a Multi-Size Patch-Based Hybrid Kernel Machine Ensemble for Abnormal Region Detection in Colonoscopic Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.201

Markdown

[Li et al. "Learning a Multi-Size Patch-Based Hybrid Kernel Machine Ensemble for Abnormal Region Detection in Colonoscopic Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/li2005cvpr-learning/) doi:10.1109/CVPR.2005.201

BibTeX

@inproceedings{li2005cvpr-learning,
  title     = {{Learning a Multi-Size Patch-Based Hybrid Kernel Machine Ensemble for Abnormal Region Detection in Colonoscopic Images}},
  author    = {Li, Peng and Chan, Kap Luk and Krishnan, Shankar Muthu},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {670-675},
  doi       = {10.1109/CVPR.2005.201},
  url       = {https://mlanthology.org/cvpr/2005/li2005cvpr-learning/}
}