Online binary classification from similar and dissimilar data

Author:

Shu Senlin,Wang Haobo,Wang Zhuowei,Han Bo,Xiang Tao,An Bo,Feng LeiORCID

Funder

Natural Science Foundation of China

Chongqing Overseas Chinese Entrepreneurship and Innovation Support Program

CAAI-Huawei MindSpore Open Fund

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference41 articles.

1. Bao, H., Niu, G., & Sugiyama, M. (2018). Classification from pairwise similarity and unlabeled data. In ICML, pp. 452–461.

2. Bao, H., Shimada, T., Xu, L., Sato, I., & Sugiyama, M. (2020). Similarity-based classification: Connecting similarity learning to binary classification. arXiv preprint arXiv:2006.06207.

3. Blake, C. L., & Merz, C. J. (1998). UCI repository of machine learning databases. http://archive.ics.uci.edu/ml/index.php.

4. Cao, Y., Feng, L., Xu, Y., An, B., Niu, G., & Sugiyama, M. (2021). Learning from similarity-confidence data. In ICML, pp. 1272–1282.

5. Cao, Y., Wan, Z., Ren, D., Yan, Z., & Zuo, W. (2022). Incorporating semi-supervised and positive-unlabeled learning for boosting full reference image quality assessment. In CVPR, pp. 5851–5861.

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