On Detection of Diabetic Retinopathy via Multiple Instance Learning
Author:
Affiliation:
1. DEMACS, University of Calabria, Italy and CNR-NANOTEC National Research Council, Italy
2. DIMES, University of Calabria, Italy and CNR-NANOTEC National Research Council, Italy
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589462.3589490
Reference33 articles.
1. Multiple instance classification: Review, taxonomy and comparative study
2. A maximum-margin multisphere approach for binary Multiple Instance Learning
3. The Proximal Trajectory Algorithm in SVM Cross Validation
4. A Lagrangian Relaxation Approach for Binary Multiple Instance Classification
5. A Semiproximal Support Vector Machine Approach for Binary Multiple Instance Learning
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