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- W4296341788 abstract "This article first introduces the kernel-based FCM algorithm (KFCM), which has a good clustering effect on data sets with ambiguity and uncertainty; the image compression sensing algorithm has a strong global optimization ability, but it is easy to fall into the local area. Optimal. For this reason, with the help of quantum theory, the particles are quantized, the movement of the particles is updated through the quantum revolving gate, and the quantum NOT gate is used to increase the diversity of the population; and compared with the FCM, FCMS, FCMS1 and FLICM algorithms. Evaluate algorithms and experimental results according to relevant evaluation criteria." @default.
- W4296341788 created "2022-09-20" @default.
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- W4296341788 date "2022-08-17" @default.
- W4296341788 modified "2023-09-23" @default.
- W4296341788 title "Research on Computer Desktop Image Compressed Sensing Framework based on FCM Algorithm" @default.
- W4296341788 doi "https://doi.org/10.1109/icesc54411.2022.9885373" @default.
- W4296341788 hasPublicationYear "2022" @default.
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