Pei-Jyun Hsieh

According to our database, Pei-Jyun Hsieh authored at least 4 papers between 2014 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

Multiple SVMS based on random subspaces from kernel feature importance for hyperspectral image classification.

Cheng-Hsuan Li, Pei-Jyun Hsieh, Bor-Chen Kuo

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2015

An automatic kernel parameter selection method for kernel nonparametric weighted feature extraction with the RBF kernel for hyperspectral image classification.

Pei-Jyun Hsieh, Cheng-Hsuan Li, Bor-Chen Kuo, Pei-Ling Tsai

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

A nonlinear feature selection method based on kernel separability measure for hyperspectral image classification.

Pei-Jyun Hsieh, Cheng-Hsuan Li, Bor-Chen Kuo

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

A kernel-based feature extraction method for hyperspectral image classification.

Pei-Jyun Hsieh, Cheng-Hsuan Li, Kai-Ching Chen, Bor-Chen Kuo

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014