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Robust Joint Sparse Representation Based on Maximum Correntropy Criterion for Hyperspectral Image Classification

Type: Journal Paper

Author : Jiangtao Peng; Qian Du

Year: 2017

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Sparse matrix transform-based linear discriminant analysis for hyperspectral image classification

Type: Journal Paper

Author : Jiangtao Peng; Tao Luo

Year: 2015

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An improved ensemble partial least squares for analysis of near-infrared spectra

Type: Journal Paper

Author : Yong Hu; Silong Peng; Jiangtao Peng; Jiping Wei

Year: 2012

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Extreme Learning Machine With Composite Kernels for Hyperspectral Image Classification

Type: Journal Paper

Author : Yicong Zhou; Jiangtao Peng; C. L. Philip Chen

Year: 2014

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Extreme learning machine for ranking: Generalization analysis and applications

Type: Journal Paper

Author : Hong Chen; Jiangtao Peng; Yicong Zhou; Luoqing Li; Zhibin Pan

Year: 2014

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Dimension Reduction Using Spatial and Spectral Regularized Local Discriminant Embedding for Hyperspectral Image Classification

Type: Journal Paper

Author : Yicong Zhou; Jiangtao Peng; C. L. Philip Chen

Year: 2015

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Maximum correntropy criterion based regression for multivariate calibration

Type: Journal Paper

Author : Jiangtao Peng; Lu Guo; Yong Hu; KaiFeng Rao; Qiwei Xie

Year: 2016

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Robust Joint Sparse Representation Based on Maximum Correntropy Criterion for Hyperspectral Image Classification

Sparse matrix transform-based linear discriminant analysis for hyperspectral image classification

An improved ensemble partial least squares for analysis of near-infrared spectra

Extreme Learning Machine With Composite Kernels for Hyperspectral Image Classification

Extreme learning machine for ranking: Generalization analysis and applications

Dimension Reduction Using Spatial and Spectral Regularized Local Discriminant Embedding for Hyperspectral Image Classification

Maximum correntropy criterion based regression for multivariate calibration

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Robust Joint Sparse Representation Based on Maximum Correntropy Criterion for Hyperspectral Image Classification

Sparse matrix transform-based linear discriminant analysis for hyperspectral image classification

An improved ensemble partial least squares for analysis of near-infrared spectra

Extreme Learning Machine With Composite Kernels for Hyperspectral Image Classification

Extreme learning machine for ranking: Generalization analysis and applications

Dimension Reduction Using Spatial and Spectral Regularized Local Discriminant Embedding for Hyperspectral Image Classification

Maximum correntropy criterion based regression for multivariate calibration