Nearest Convex Hull Classification Based on Linear Programming
Author:
Publisher
Pleiades Publishing Ltd
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1134/S1054661821020139.pdf
Reference20 articles.
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2. A. P. Nemirko, “Multidimensional data visualization based on the minimum distance between convex hulls of classes,” Pattern Recognit. Image Anal. 28 (4), 712–719 (2018). https://doi.org/10.1134/S1054661818040247
3. G. Nalbantov and E. Smirnov, “Soft nearest convex hull classifier,” in Proc. 19th European Conference on Artificial Intelligence (ECAI-2010), Ed. by H. Coelho et al. (IOS Press, 2010), pp. 841–846. https://doi.org/10.3233/978-1-60750-606-5-841
4. X. Zhou and Y. Shi, “Nearest neighbor convex hull classification method for face recognition,” in Computational Science – ICCS 2009, Ed. by G. Allen et al. (Springer, 2009), pp. 570–577. https://doi.org/10.1007/978-3-642-01973-9_64.
5. J. Qing, H. Huo, and T. Fang, “Nearest convex hull classifiers for remote sensing classification,” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 37, 589–594 (2008).
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