( en | de | ru )

 

Disambiguation of "Xu, Xiaochun"

Author of the publication

copydeleteadd this publication to your clipboard
Circular regional mean completed local binary pattern for texture classification.

, , , , and . J. Electronic Imaging, 27 (04): 043024 (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. You can also use the button next to the name to display some publications already assigned to the person.

Xiaochun Xu

Xiaochun Ding

Xiaochun Lin

Xiaochun Chen

Xiaochun Sheng

 

Other publications of authors with the same name

Approximation Algorithms for Sensor Deployment., and . IEEE Trans. Computers, 56 (12): 1681-1695 (2007)A Multiscale Hierarchical Threshold-Based Completed Local Entropy Binary Pattern for Texture Classification., , and . Cogn. Comput., 12 (1): 224-237 (2020)Minimum-cost sensor coverage of planar regions., , and . FUSION, page 1-8. IEEE, (2008)Application of Practical Curriculum for College Specialty of Economic Management under TPACK Framework - Taking "Enterprise Operation and Decision Simulation System" Curriculum as an Example., , , and . Int. J. Emerg. Technol. Learn., 12 (7): 124-135 (2017)A Reactive Power Reserve Prediction Method for EV Charging Piles Based on Big Data and Optimized Neural Network., , , , , and . ICBDS, volume 1415 of Communications in Computer and Information Science, page 406-419. Springer, (2020)A completed local shrinkage pattern for texture classification., , and . Appl. Soft Comput., 97 (Part B): 106830 (2020)On basic properties of localization using distance-difference measurements., , and . FUSION, page 1-8. IEEE, (2008)Circular regional mean completed local binary pattern for texture classification., , , , and . J. Electronic Imaging, 27 (04): 043024 (2018)On approximation algorithms of k-connected m-dominating sets in disk graphs., , , and . Theor. Comput. Sci., 385 (1-3): 49-59 (2007)Prediction of cardiovascular diseases using weight learning based on density information., , , , , , and . Neurocomputing, (2021)