Jianqiang Gao

Orcid: 0000-0002-1989-4943

According to our database1, Jianqiang Gao authored at least 15 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An effective method for salt and pepper noise removal based on algebra and fuzzy logic function.
Multim. Tools Appl., January, 2024

2022
An Effective Feature Extraction Approach Based on Spectral-Gabor Space Discriminant Analysis for Hyperspectral Image.
Neural Process. Lett., 2022

An effective feature extraction method via spectral-spatial filter discrimination analysis for hyperspectral image.
Multim. Tools Appl., 2022

2020
A Novel Geometric Mean Feature Space Discriminant Analysis Method for Hyperspectral Image Feature Extraction.
Neural Process. Lett., 2020

A New ExtendFace Representation Method for Face Recognition.
Neural Process. Lett., 2020

Sparse and collaborative representation based kernel pairwise linear regression for image set classification.
Expert Syst. Appl., 2020

2019
Hyperspectral Image Feature Extraction Using Maclaurin Series Function Curve Fitting.
Neural Process. Lett., 2019

Multi-model fusion metric learning for image set classification.
Knowl. Based Syst., 2019

2018
Low-density noise removal based on lambda multi-diagonal matrix filter for binary image.
Neural Comput. Appl., 2018

2016
A Novel Spatial Analysis Method for Remote Sensing Image Classification.
Neural Process. Lett., 2016

A spectral-textural kernel-based classification method of remotely sensed images.
Neural Comput. Appl., 2016

2015
A novel information transferring approach for the classification of remote sensing images.
EURASIP J. Adv. Signal Process., 2015

2014
A kernel-based block matrix decomposition approach for the classification of remotely sensed images.
Appl. Math. Comput., 2014

2013
A practical application of kernel-based fuzzy discriminant analysis.
Int. J. Appl. Math. Comput. Sci., 2013

Median null(<i>S</i><sub><i>w</i></sub>)-based method for face feature recognition.
Appl. Math. Comput., 2013


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