( en | de | ru )

 

Disambiguation of "Hu, Jing"

Author of the publication

copydeleteadd this publication to your clipboard
Salient target detection in hyperspectral image based on visual attention.

, , , , , and . IET Image Process., 15 (10): 2301-2308 (2021)

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.

Jing Hu

Jing Hu

Jing Hu

Yuanyuan Jing

Guangmei Jing

 

Other publications of authors with the same name

Minimum-norm Hamiltonian solutions of a class of generalized Sylvester-conjugate matrix equations., and . Comput. Math. Appl., 73 (5): 747-764 (2017)Construction of Economic Evaluation Index System Based on Primary Information and Evidence of Three Provinces: Beijing, Tianjin and Hebei, China., , and . FSDM, volume 281 of Frontiers in Artificial Intelligence and Applications, page 354-357. IOS Press, (2015)Ecological Research of the Voluntary Disclosure about Listed Companies., and . Complex (2), volume 5 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 1997-2003. Springer, (2009)A GPU-accelerated parallel network traffic analysis system., , and . Int. J. Wirel. Mob. Comput., 9 (4): 343-348 (2015)Conjugate gradient least squares algorithm for solving the generalized coupled Sylvester-conjugate matrix equations., and . Appl. Math. Comput., (2018)Human fixation detection model in video compressed domain based on Markov random field., , , , and . J. Electronic Imaging, 26 (1): 13008 (2017)Design and implementation of power communication terminal based on link aggregation technology., , , , and . ICCAIS, page 48-53. IEEE, (2016)Spatial-Temporal Spectrum Access Analysis for Multi-Channel Mobile Cognitive Radio Networks., , , and . Wireless Personal Communications, 94 (4): 2819-2831 (2017)Application of Extreme Learning Machine to Visual Diagnosis of Rapeseed Nutrient Deficiency., , , and . IFTC, volume 1009 of Communications in Computer and Information Science, page 238-248. Springer, (2018)Deep Learning with Convolutional Neural Networks for Sleep Arousal Detection., , , , , , and . CinC, page 1-4. www.cinc.org, (2018)