The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Comparison of classifier methods: a case study in handwritten digit recognition
Abstract
This paper compares the performance of several classifier algorithms on a standard database of handwritten digits. We consider not only raw accuracy, but also training time, recognition time, and memory requirements. When available, we report measurements of the fraction of patterns that must be rejected so that the remaining patterns have misclassification rates less than a given threshold.
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Citations
Cites
The Strength of Weak Learnability
Schapire, R. E. (1990) · Machine Learning · doi:10.1007/bf00116037 · Cited by 4,600
Cited by
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Self-citationArjovsky, M., Bottou, L., Gulrajani, I., & Lopez-Paz, D. (2019) · arXiv · doi:10.48550/arxiv.1907.02893 · Cited by 927
Self-citationKotsia, I., & Pitas, I. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.884954 · Cited by 687
Cold Case: The Lost MNIST Digits
Yadav, C., & Bottou, L. (2019) · arXiv · doi:10.48550/arxiv.1905.10498 · Cited by 69
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Metadata
- Authors
- Bottou, L., Cortes, C., Denker, J. S., Drucker, H., Guyon, I., Jackel, L. D., LeCun, Y., Muller, U. A., Sackinger, E., Simard, P., & Vapnik, V.
- Venue
- Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5)
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2002-12-17
- Volume
- 2
- Pages
- 77-82
- OpenAlex
- W2168228682
- Cited by
- 626
- References
- 1
- FWCI
- 10.26
- Type
- conference paper
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.