Author:
Dhawale Kritika,Vohra Ankit Singh,Jain Pooja,Kumar Tapan
Reference17 articles.
1. Niu, X.X., Suen, C.Y.: A novel hybrid CNN–SVM classifier for recognizing handwritten digits. Pattern Recogn. 45(4), 1318–1325 (2012)
2. Xie, Q., Hovy, E., Luong, M.T., Le, Q.V.: Self-training with Noisy Student improves ImageNet classification (2019). arXiv preprint. arXiv:1911.04252
3. Pal, K.K., Sudeep, K.S.: Preprocessing for image classification by convolutional neural networks. In: 2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology (RTEICT), pp. 1778–1781. IEEE, (2016)
4. Deng, L.: The MNIST database of handwritten digit images for machine learning research [best of the web]. IEEE Signal Process. Mag. 29(6), 141–142 (2012)
5. Perez, L., Wang, J.: The effectiveness of data augmentation in image classification using deep learning (2017). arXiv preprint, arXiv:1712.04621
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Blind color user interface requirements: A UMI specification;PROCEEDINGS OF THE 4TH INTERNATIONAL COMPUTER SCIENCES AND INFORMATICS CONFERENCE (ICSIC 2022);2023