44 citations · 121 across the 4 of their papers we have counts for
4 papers
Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification
Faxian Cao, Zhijing Yang, Jinchang Ren +1
Although extreme learning machine (ELM) has been successfully applied to a number of pattern recognition problems, it fails to pro-vide sufficient good results in hyperspectral ima…
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…
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…
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…