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Group sparse nonnegative matrix factorization for hyperspectral image denoising

Type: Journal Paper

Author : Yangyang Xu; Yuntao Qian

Year: 2016

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Mixed Poisson-Gaussian noise model based sparse denoising for hyperspectral imagery

Type: Journal Paper

Author : Minchao Ye; Yuntao Qian

Year: 2012

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A semi-supervised color image segmentation method

Type: Journal Paper

Author : Yuntao Qian; Wenwu Si

Year: 2005

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Aggressive Dimensionality Reduction with Reinforcement Local Feature Selection for Text Categorization

Type: Journal Paper

Author : Wenbin Zheng; Yuntao Qian

Year: 2010

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Bound analysis of natural gradient descent in stochastic optimization setting

Type: Journal Paper

Author : Zhijian Luo; Danping Liao; Yuntao Qian

Year: 2016

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MT-OMP for hyperspectral imagery denoising with model parameter estimation

Type: Journal Paper

Author : Minchao Ye; Yuntao Qian; Qi Wang

Year: 2013

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Noise reduction of hyperspectral imagery using nonlocal sparse representation with spectral-spatial structure

Type: Journal Paper

Author : Yuntao Qian; Minchao Ye; Qi Wang

Year: 2012

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Multitask Sparse Nonnegative Matrix Factorization for Joint Spectral–Spatial Hyperspectral Imagery Denoising

Type: Journal Paper

Author : Minchao Ye; Yuntao Qian; Jun Zhou

Year: 2015

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Regularized logistic regression method for change detection in multispectral data via Pathwise Coordinate optimization

Type: Conference Paper

Author : Jiming Li; Yuntao Qian; Sen Jia

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Noise reduction of hyperspectral imagery based on nonlocal tensor factorization

Type: Journal Paper

Author : Danping Liao; Minchao Ye; Sen Jia; Yuntao Qian

Year: 2013

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Group sparse nonnegative matrix factorization for hyperspectral image denoising

Mixed Poisson-Gaussian noise model based sparse denoising for hyperspectral imagery

A semi-supervised color image segmentation method

Aggressive Dimensionality Reduction with Reinforcement Local Feature Selection for Text Categorization

Bound analysis of natural gradient descent in stochastic optimization setting

MT-OMP for hyperspectral imagery denoising with model parameter estimation

Noise reduction of hyperspectral imagery using nonlocal sparse representation with spectral-spatial structure

Multitask Sparse Nonnegative Matrix Factorization for Joint Spectral–Spatial Hyperspectral Imagery Denoising

Regularized logistic regression method for change detection in multispectral data via Pathwise Coordinate optimization

Noise reduction of hyperspectral imagery based on nonlocal tensor factorization

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Group sparse nonnegative matrix factorization for hyperspectral image denoising

Mixed Poisson-Gaussian noise model based sparse denoising for hyperspectral imagery

A semi-supervised color image segmentation method

Aggressive Dimensionality Reduction with Reinforcement Local Feature Selection for Text Categorization

Bound analysis of natural gradient descent in stochastic optimization setting

MT-OMP for hyperspectral imagery denoising with model parameter estimation

Noise reduction of hyperspectral imagery using nonlocal sparse representation with spectral-spatial structure

Multitask Sparse Nonnegative Matrix Factorization for Joint Spectral–Spatial Hyperspectral Imagery Denoising

Regularized logistic regression method for change detection in multispectral data via Pathwise Coordinate optimization

Noise reduction of hyperspectral imagery based on nonlocal tensor factorization