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نمایش تعداد 1-7 از 7

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

نوع: Journal Paper

نویسنده : Jiangtao Peng; Qian Du

سال: 2017

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

نوع: Journal Paper

نویسنده : Jiangtao Peng; Tao Luo

سال: 2015

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

نوع: Journal Paper

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

سال: 2012

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Extreme Learning Machine With Composite Kernels for Hyperspectral Image Classification

نوع: Journal Paper

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

سال: 2014

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Extreme learning machine for ranking: Generalization analysis and applications

نوع: Journal Paper

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

سال: 2014

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

نوع: Journal Paper

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

سال: 2015

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Maximum correntropy criterion based regression for multivariate calibration

نوع: Journal Paper

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

سال: 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