Similarity graph-based max-flow and duality approaches for semi-supervised data classification and image segmentation-Reference-Cited by-同舟云学术

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Similarity graph-based max-flow and duality approaches for semi-supervised data classification and image segmentation

Published:2023-06-21 Issue:12 Volume:14 Page:4285-4310
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Merkurjev Ekaterina

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-023-01894-7.pdf

Reference135 articles.

1. 20 Newsgroups Data Set. http://qwone.com/~jason/20Newsgroups/

2. Accelerate machine learning with active learning. https://becominghuman.ai/accelerate-machine-learning-with-active-learning-96cea4b72fdb

3. Fashion MNIST Data Set. https://github.com/zalandoresearch/fashion-mnist

4. LeNet-5 in 9 lines of code using Keras. https://medium.com/@mgazar/lenet-5-in-9-lines-of-code-using-keras-ac99294c8086

5. LIBSVM – A Library for Support Vector Machines. https://www.csie.ntu.edu.tw/~cjlin/libsvm/

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