( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Lightweight preprocessing and fast query of geodesic distance via proximity graph.

, , , , , , и . Comput. Aided Des., (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Zhenyu Xiao

Zhenyu Shi

Zhenyu Tan

Zhenyu Tang

Zhenyu Liu

 

Другие публикации лиц с тем же именем

Double-Blind Compact E-cash from Bilinear Map., , , , , , и . KSII Trans. Internet Inf. Syst., 16 (4): 1266-1285 (2022)Comparing the Performance of Two Radiomic Models to Predict Progression and Progression Speed of White Matter Hyperintensities., , , , и . Frontiers Neuroinformatics, (2021)3D Shape Segmentation Using Soft Density Peak Clustering and Semi-Supervised Learning., , , , , , и . Comput. Aided Des., (2022)Road Geometric Features Extraction based on Self-Organizing Map (SOM) Neural Network., , и . J. Networks, 9 (1): 190-197 (2014)An Accelerated and Flexible SIFT Parallel-Computing Approach Based on the General Multi-Core Platform., , , , , и . Int. J. Pattern Recognit. Artif. Intell., 36 (6): 2255010:1-2255010:23 (2022)Detecting 3D Points of Interest Using Multiple Features and Stacked Auto-encoder., , , , и . IEEE Trans. Vis. Comput. Graph., 25 (8): 2583-2596 (2019)基于纹理自适应全变分滤波的图像分块压缩感知优化算法 (Enhanced Block Compressed Sensing of Images Based on Total Variation Using Texture Information)., , , и . 计算机科学, 43 (2): 307-310 (2016)Integrating Active Learning with Supervision for Crowdsourcing Generalization., , , , , и . ICMLA, стр. 232-237. IEEE, (2015)Predicting Alzheimer's progression in MCI: a DTI-based white matter network model., , , , , , и . BMC Medical Imaging, 24 (1): 103 (декабря 2024)Intrinsic Girth Function for Shape Processing., , , , и . ACM Trans. Graph., 35 (3): 25:1-25:14 (2016)