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A Semi-Supervised High-Level Feature Selection Framework for Road Centerline Extraction., , , , и . IEEE Geosci. Remote. Sens. Lett., 17 (5): 894-898 (2020)Study on the measurement of global sizes of cylindrical parts using Talyrond 585LT., , , , , и . ICAC, стр. 1-5. IEEE, (2019)Cross-Channel Graph Convolutional Networks for Skeleton-Based Action Recognition., , , , , , , , и . IEEE Access, (2021)SRTPN: Scale and Rotation Transform Prediction Net for Multimodal Remote Sensing Image Registration., , , , , , и . Remote. Sens., 15 (14): 3469 (июля 2023)Well-Posedness of Fully Coupled Linear Forward-Backward Stochastic Differential Equations., и . J. Syst. Sci. Complex., 32 (3): 789-802 (2019)Multiscale road centerlines extraction from high-resolution aerial imagery., , , , , , и . Neurocomputing, (2019)Road centerlines extraction from high resolution images based on an improved directional segmentation and road probability., , , , и . Neurocomputing, (2016)Design of an Approximate Multiplier with Time and Power Efficient Approximation Methods., , , , , и . J. Circuits Syst. Comput., 32 (14): 2350248:1-2350248:11 (сентября 2023)A Novel Dynamic Character Grouping Approach Based on the Consistency Constraints., , , , , и . CCCV (2), том 547 из Communications in Computer and Information Science, стр. 170-179. Springer, (2015)Directional Segmentation Based on Shear Transform and Shape Features for Road Centerlines Extraction from High Resolution Images., , , и . CCCV (2), том 547 из Communications in Computer and Information Science, стр. 1-9. Springer, (2015)