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Detecting Seam-Carved Image by Extreme Learning Machines Using Patch Analysis Method, Jury Voting, and Combinatorial Fusion.

, , , and . IEEE Trans. Syst. Man Cybern. Syst., 50 (5): 1850-1864 (2020)

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Platform Construction to Protect Portraits of Others., , and . CCCI, page 1-4. IEEE, (2023)Particle-Cell Detecting and Tracking in Live-Cell Time-Lapse Images., , , and . ISPAN-FCST-ISCC, page 352-356. IEEE Computer Society, (2017)Accelerated Parallel Based Distance Calculations for Live-Cell Time-Lapse Images., , and . ICS, volume 1013 of Communications in Computer and Information Science, page 321-329. Springer, (2018)Computing Image Intersection and Union Regions for Drosophila Neurons Based on Multi-core CPUs., , , , and . I-SPAN, volume 1080 of Communications in Computer and Information Science, page 294-303. Springer, (2019)Using Deep Learning to Identify Cell and Particle in Live-Cell Time-lapse Images., , , , , and . BIBM, page 1327-1331. IEEE Computer Society, (2018)Constructing a GPU cluster platform based on multiple NVIDIA Jetson TK1., , , , and . BIBM, page 917-922. IEEE Computer Society, (2016)Detecting Seam-Carved Image by Extreme Learning Machines Using Patch Analysis Method, Jury Voting, and Combinatorial Fusion., , , and . IEEE Trans. Syst. Man Cybern. Syst., 50 (5): 1850-1864 (2020)Hopfield network-based approach to detect seam-carved images and identify tampered regions., , and . Neural Comput. Appl., 31 (10): 6479-6492 (2019)