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Now showing items 1-10 of 21

Fundamental limits of reconstruction-based superresolution algorithms under local translation

Type: Journal Paper

Author : Zhouchen Lin; Heung-Yeung Shum

Year: 2004

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Convex Sparse Spectral Clustering: Single-View to Multi-View

Type: Journal Paper

Author : Canyi Lu; Shuicheng Yan; Zhouchen Lin

Year: 2016

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L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction

Type: Journal Paper

Author : Wenming Zheng; Zhouchen Lin; Haixian Wang

Year: 2014

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Laplacian Regularized Low-Rank Representation and Its Applications

Type: Journal Paper

Author : Ming Yin; Junbin Gao; Zhouchen Lin

Year: 2015

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Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization

Type: Journal Paper

Author : Canyi Lu; Zhouchen Lin; Shuicheng Yan

Year: 2015

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Automatic Design of Color Filter Arrays in The Frequency Domain

Type: Journal Paper

Author : Bai, Chenyan, Jia Li, Zhouchen Lin, and Jian Yu.

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Year: 2016

Transformation invariant subspace clustering

Type: Journal Paper

Author : Qi Li; Zhenan Sun; Zhouchen Lin; Ran He; Tieniu Tan

Year: 2016

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Toward designing intelligent PDEs for computer vision: An optimal control approach

Type: Journal Paper

Author : Risheng Liu; Zhouchen Lin; Wei Zhang; Kewei Tang; Zhixun Su

Year: 2013

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Tensor LRR and Sparse Coding-Based Subspace Clustering

Type: Journal Paper

Author : Yifan Fu; Junbin Gao; David Tien; Zhouchen Lin; Xia Hong

Year: 2016

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The multiscale competitive code via sparse representation for palmprint verification

Type: Conference Paper

Author : Wangmeng Zuo; Zhouchen Lin; Zhenhua Guo; David Zhang

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Fundamental limits of reconstruction-based superresolution algorithms under local translation

Convex Sparse Spectral Clustering: Single-View to Multi-View

L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction

Laplacian Regularized Low-Rank Representation and Its Applications

Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization

Automatic Design of Color Filter Arrays in The Frequency Domain

Transformation invariant subspace clustering

Toward designing intelligent PDEs for computer vision: An optimal control approach

Tensor LRR and Sparse Coding-Based Subspace Clustering

The multiscale competitive code via sparse representation for palmprint verification

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Fundamental limits of reconstruction-based superresolution algorithms under local translation

Convex Sparse Spectral Clustering: Single-View to Multi-View

L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction

Laplacian Regularized Low-Rank Representation and Its Applications

Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization

Automatic Design of Color Filter Arrays in The Frequency Domain

Transformation invariant subspace clustering

Toward designing intelligent PDEs for computer vision: An optimal control approach

Tensor LRR and Sparse Coding-Based Subspace Clustering

The multiscale competitive code via sparse representation for palmprint verification