Representation of Images by the Optimal Lattice Partitions of Random Counts
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/S1054661821030044.pdf
Reference16 articles.
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2. V. Antsiperov, “New maximum similarity method for object identification in photon counting imaging,” in Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods (2021), Vol. 1, pp. 341–348. https://doi.org/10.5220/0010346803410348
3. V. Antsiperov, “Maximum similarity method for image mining,” in Proceedings of the Pattern Recognition ICPR International Workshops and Challenges, Part V (Springer, 2021), pp. 301–313. https://doi.org/10.1007/978-3-030-68821-9_28
4. V. E. Antsiperov, “Target identification for photon-counting image sensors, inspired by mechanisms of human visual perception,” J. Phys.: Conf. Ser. 1368, 032020 (2019). https://doi.org/10.1088/1742-6596/1368/3/032020
5. K. P. Burnham and D. R. Anderson, Model Selection and Inference: A Practical Information-Theoretic Approach (Springer-Verlag, New York, 1998). https://doi.org/10.1007/978-1-4757-2917-7
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