activity
20172024
most citedExtreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification

36 citations · 77 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SP2024

A Novel Numerical Method for Relaxing the Minimal Configurations of TOA-Based Joint Sensors and Sources Localization

Faxian Cao, Yongqiang Cheng, Adil Mehmood Khan +2

This work introduces a novel numerical method that relaxes the minimal configuration requirements for joint sensors and sources localization (JSSL) in 3D space using time of arriva…

cs.NE2018

Conditioning Optimization of Extreme Learning Machine by Multitask Beetle Antennae Swarm Algorithm

Xixian Zhang, Zhijing Yang, Faxian Cao +3

Extreme learning machine (ELM) as a simple and rapid neural network has been shown its good performance in various areas. Different from the general single hidden layer feedforward…

cs.CV201725 cited

Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image

Faxian Cao, Zhijing Yang, Jinchang Ren +2

As a new machine learning approach, extreme learning machine (ELM) has received wide attentions due to its good performances. However, when directly applied to the hyperspectral im…

cs.CV201716 cited

Does Normalization Methods Play a Role for Hyperspectral Image Classification?

Faxian Cao, Zhijing Yang, Jinchang Ren +2

For Hyperspectral image (HSI) datasets, each class have their salient feature and classifiers classify HSI datasets according to the class's saliency features, however, there will…

cs.CV201736 cited

Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification

Faxian Cao, Zhijing Yang, Jinchang Ren +1

Although the sparse multinomial logistic regression (SMLR) has provided a useful tool for sparse classification, it suffers from inefficacy in dealing with high dimensional feature…