Gang Liu
Orcid: 0000-0001-9743-7847Affiliations:
- Henan University of Science and Technology, Information Engineering College, Luoyang, China
According to our database1,
Gang Liu
authored at least 16 papers
between 2009 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2022
An improved SSD method for infrared target detection based on convolutional neural network.
J. Comput. Methods Sci. Eng., 2022
2021
Int. J. Pattern Recognit. Artif. Intell., 2021
2020
Linear regression classification steered discriminative projection for dimension reduction.
Multim. Tools Appl., 2020
Scene Matching for Infrared and Visible Images with Compressive Sensing SIFT Feature Representation in Bandelet Domain.
Int. J. Pattern Recognit. Artif. Intell., 2020
2019
Using the Original and Symmetrical Face Test Samples to Perform Two-Step Collaborative Representation for Face Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2019
Appl. Soft Comput., 2019
IEEE Access, 2019
Proceedings of the 8th International Conference on Networks, Communication and Computing, 2019
2018
Infrared Aerial Small Target Detection with NSCT and Two-Dimensional Property Histogram.
Int. J. Pattern Recognit. Artif. Intell., 2018
Registration of infrared and visible light image based on visual saliency and scale invariant feature transform.
EURASIP J. Image Video Process., 2018
2017
Multim. Tools Appl., 2017
Noisy label based discriminative least squares regression and its kernel extension for object identification.
KSII Trans. Internet Inf. Syst., 2017
2016
Robust Minimum Squared Error Classification Algorithm with Applications to Face Recognition.
KSII Trans. Internet Inf. Syst., 2016
2014
Neighborhood weight fuzzy c-means kernel clustering based infrared image segmentation.
Proceedings of the IEEE International Conference on Information and Automation, 2014
2009
Proceedings of the First IITA International Joint Conference on Artificial Intelligence, 2009