Canyi Lu bio photo

Canyi Lu

Postdoctoral Research Associate at Carnegie Mellon University.

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Publications

You can also browse my Google Scholar profile.

Software and Toolboxes

  1. Tensor-Tensor Product Toolbox 2.0
    Canyi Lu
    Carnegie Mellon University, June 2018, updated in April 2021
    [bibtex] [pdf] [arXiv] [Github] 

    @manual{tproduct2018lu,
  author = {Lu, Canyi},
  title = {Tensor-Tensor Product Toolbox 2.0},
  organization = {Carnegie Mellon University},
  month = {April},
  year = {2021},
  note = {https://github.com/canyilu/tproduct}
}

  2. A Library of ADMM for Sparse and Low-rank Optimization
    Canyi Lu
    National University of Singapore, June 2016
    [bibtex] [pdf] [Github] 

    @manual{lu2016libadmm,
  author = {Lu, Canyi},
  title = {A Library of ADMM for Sparse and Low-rank Optimization},
  organization = {National University of Singapore},
  month = {June},
  year = {2016},
  note = {https://github.com/canyilu/LibADMM}
}

Preprints and Reports

  1. Projection onto the Capped Simplex
    Weiran Wang and Canyi Lu
    arXiv preprint arXiv:1503.01002, 2015
    [bibtex] [pdf] [arXiv] [code] 

    @article{wang2015projection,
  author = {Wang, Weiran and Lu, Canyi},
  title = {Projection onto the Capped Simplex},
  journal = {arXiv preprint arXiv:1503.01002},
  year = {2015}
}

Journal and Conference Publications

  1. Tensor Q-Rank: New Data Dependent Tensor Rank
    Hao Kong, Canyi Lu and Zhouchen Lin
    Machine Learning, 2021
    [bibtex] [arXiv] 

    @article{kong2021tensor,
  author = {Kong, Hao and Lu, Canyi and Lin, Zhouchen},
  title = {Tensor Q-Rank: New Data Dependent Tensor Rank},
  journal = {Machine Learning},
  year = {2021}
}

  2. Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm
    Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin and Shuicheng Yan
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
    [bibtex] [arXiv] [code] [t-product toolbox] [LibADMM Toolbox] 

    @article{lu2020tensor,
  author = {Lu, Canyi and Feng, Jiashi and Chen, Yudong and Liu, Wei and Lin, Zhouchen and Yan, Shuicheng},
  title = {Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  year = {2020}
}

  3. Tensor Low-rank Representation for Data Recovery and Clustering
    Pan Zhou, Canyi Lu and Jiashi Feng
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
    [bibtex] [t-product toolbox] 

    @article{zhou2018tensorlrr,
  author = {Zhou, Pan and Lu, Canyi and Feng, Jiashi},
  title = {Tensor Low-rank Representation for Data Recovery and Clustering},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  year = {2020
}

  4. Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms
    Canyi Lu, Xi Peng, Yunchao Wei
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019
    [bibtex] [pdf] [code] [t-product toolbox 2.0] 

    @inproceedings{lu2016tensor,
  author = {Lu, Canyi and Peng Xi and  Wei Yunchao},
  title = {Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms},
  booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019}
}

  5. Accelerated Randomized Mirror Descent Algorithms For Composite Non-strongly Convex Optimization
    Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu and Jiashi Feng
    Journal of Optimization Theory and Applications, 2019
    [bibtex] [arXiv] 

    @article{hien2016accelerated,
  author = {Hien, Le Thi Khanh and Nguyen, Cuong V and Xu, Huan and Lu, Canyi and Feng, Jiashi},
  title = {Accelerated Randomized Mirror Descent Algorithms For Composite Non-strongly Convex Optimization},
  journal = {Journal of Optimization Theory and Applications},
  year = {2019}
}

  6. Subspace Clustering by Block Diagonal Representation
    Canyi Lu, Jiashi Feng, Tao Mei, Zhouchen Lin and Shuicheng Yan
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
    [bibtex] [pdf] [arXiv] [code] 

    @article{lu2016subspace,
  author = {Lu, Canyi and Feng, Jiashi and Mei, Tao and Lin, Zhouchen and Yan, Shuicheng},
  title = {Subspace Clustering by Block Diagonal Representation},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  year = {2019}
}

  7. A Unified Alternating Direction Method of Multipliers by Majorization Minimization
    Canyi Lu, Jiashi Feng, Shuicheng Yan and Zhouchen Lin
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, pp. 527-541, 2018
    [bibtex] [pdf] [arXiv] [LibADMM Toolbox] 

    @article{lu2018unified,
  author = {Lu, Canyi and Feng, Jiashi and Yan, Shuicheng and Lin, Zhouchen},
  title = {A Unified Alternating Direction Method of Multipliers by Majorization Minimization},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  publisher = {IEEE},
  year = {2018},
  volume = {40},
  number = {3},
  pages = {527--541}
}

  8. Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements
    Canyi Lu, Jiashi Feng, Zhouchen Lin and Shuicheng Yan
    International Joint Conference on Artificial Intelligence (IJCAI), 2018
    [bibtex] [pdf] [arXiv] [slides] [code] [t-product toolbox] [LibADMM Toolbox] 

    @inproceedings{lu2018exact,
  author = {Lu, Canyi and Feng, Jiashi and Lin, Zhouchen and Yan, Shuicheng},
  title = {Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements},
  booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
  year = {2018}
}

  9. Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis
    Canyi Lu, Jiashi Feng, Zhouchen Lin and Shuicheng Yan
    AAAI Conference on Artificial Intelligence (AAAI), 2018
    [bibtex] [pdf] [arXiv] [poster] 

    @inproceedings{lu2018nonconvex,
  author = {Lu, Canyi and Feng, Jiashi and Lin, Zhouchen and Yan, Shuicheng},
  title = {Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018}
}

  10. Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization
    Canyi Lu, Huan Li and Zhouchen Lin
    Signal Processing, vol. 151, pp. 45-55, 2018
    [bibtex] [pdf] [arXiv] 

    @article{lu2018optimized,
  author = {Lu, Canyi and Li, Huan and Lin, Zhouchen},
  title = {Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization},
  journal = {Signal Processing},
  year = {2018},
  volume = {151},
  pages = {45-55}
}

  11. Connections between Nuclear-norm and Frobenius-norm-based Representations
    Xi Peng, Canyi Lu, Zhang Yi and Huajin Tang
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, pp. 218-224, 2018
    [bibtex] [arXiv] 

    @article{peng2018connections,
  author = {Peng, Xi and Lu, Canyi and Yi, Zhang and Tang, Huajin},
  title = {Connections between Nuclear-norm and Frobenius-norm-based Representations},
  journal = {IEEE Transactions on Neural Networks and Learning Systems (TNNLS)},
  publisher = {IEEE},
  year = {2018},
  volume = {29},
  number = {1},
  pages = {218--224}
}

  12. Tensor Factorization for Low-Rank Tensor Completion
    Pan Zhou, Canyi Lu, Zhouchen Lin and Chao Zhang
    IEEE Transactions on Image Processing (TIP), vol. 27, pp. 1152-1163, 2018
    [bibtex] [pdf] [code] [t-product toolbox] 

    @article{zhou2018tensor,
  author = {Zhou, Pan and Lu, Canyi and Lin, Zhouchen and Zhang, Chao},
  title = {Tensor Factorization for Low-Rank Tensor Completion},
  journal = {IEEE Transactions on Image Processing (TIP)},
  publisher = {IEEE},
  year = {2018},
  volume = {27},
  number = {3},
  pages = {1152--1163}
}

  13. Cross-modal Retrieval with CNN Visual Features: A New Baseline
    Yunchao Wei, Yao Zhao, Canyi Lu, Shikui Wei, Luoqi Liu, Zhenfeng Zhu and Shuicheng Yan
    IEEE Transactions on Cybernetics (TCYB), vol. 47, pp. 449-460, 2017
    [bibtex] 

    @article{wei2017cross,
  author = {Wei, Yunchao and Zhao, Yao and Lu, Canyi and Wei, Shikui and Liu, Luoqi and Zhu, Zhenfeng and Yan, Shuicheng},
  title = {Cross-modal Retrieval with CNN Visual Features: A New Baseline},
  journal = {IEEE Transactions on Cybernetics (TCYB)},
  publisher = {IEEE},
  year = {2017},
  volume = {47},
  number = {2},
  pages = {449--460}
}

  14. Convex Sparse Spectral Clustering: Single-view to Multi-view
    Canyi Lu, Shuicheng Yan and Zhouchen Lin
    IEEE Transactions on Image Processing (TIP), vol. 25, pp. 2833-2843, 2016
    [bibtex] [pdf] [arXiv] [LibADMM Toolbox] 

    @article{lu2016convex,
  author = {Lu, Canyi and Yan, Shuicheng and Lin, Zhouchen},
  title = {Convex Sparse Spectral Clustering: Single-view to Multi-view},
  journal = {IEEE Transactions on Image Processing (TIP)},
  publisher = {IEEE},
  year = {2016},
  volume = {25},
  number = {6},
  pages = {2833--2843}
}

  15. Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting
    Canyi Lu, Huan Li, Zhouchen Lin and Shuicheng Yan
    AAAI Conference on Artificial Intelligence (AAAI), 2016
    [bibtex] [pdf] [arXiv] [poster] 

    @inproceedings{lu2016fast,
  author = {Lu, Canyi and Li, Huan and Lin, Zhouchen and Yan, Shuicheng},
  title = {Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016}
}

  16. Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm
    Canyi Lu, Jinhui Tang, Shuicheng Yan and Zhouchen Lin
    IEEE Transactions on Image Processing (TIP), vol. 25, pp. 829-839, 2016
    [bibtex] [pdf] [arXiv] [code] 

    @article{lu2016nonconvex,
  author = {Lu, Canyi and Tang, Jinhui and Yan, Shuicheng and Lin, Zhouchen},
  title = {Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm},
  journal = {IEEE Transactions on Image Processing (TIP)},
  publisher = {IEEE},
  year = {2016},
  volume = {25},
  number = {2},
  pages = {829--839}
}

  17. Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
    Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin and Shuicheng Yan
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016
    [bibtex] [pdf] [arXiv] [poster] [code] [t-product toolbox] [LibADMM Toolbox] 

    @inproceedings{lu2016tensor,
  author = {Lu, Canyi and Feng, Jiashi and Chen, Yudong and Liu, Wei and Lin, Zhouchen and Yan, Shuicheng},
  title = {Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization},
  booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016}
}

  18. Collaborative Completion of Transcription Factor Binding Profiles via Local Sensitive Unified Embedding
    Lin Zhu, Wei-Li Guo, Canyi Lu and De-Shuang Huang
    IEEE Transactions on NanoBioscience, vol. 15, pp. 946-958, 2016
    [bibtex] 

    @article{zhu2016collaborative,
  author = {Zhu, Lin and Guo, Wei-Li and Lu, Canyi and Huang, De-Shuang},
  title = {Collaborative Completion of Transcription Factor Binding Profiles via Local Sensitive Unified Embedding},
  journal = {IEEE Transactions on NanoBioscience},
  publisher = {IEEE},
  year = {2016},
  volume = {15},
  number = {8},
  pages = {946--958}
}

  19. Multi-loss Regularized Deep Neural Network
    Chunyan Xu, Canyi Lu, Xiaodan Liang, Junbin Gao, Wei Zheng, Tianjiang Wang and Shuicheng Yan
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 26, pp. 2273-2283, 2016
    [bibtex] 

    @article{xu2016multi,
  author = {Xu, Chunyan and Lu, Canyi and Liang, Xiaodan and Gao, Junbin and Zheng, Wei and Wang, Tianjiang and Yan, Shuicheng},
  title = {Multi-loss Regularized Deep Neural Network},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)},
  publisher = {IEEE},
  year = {2016},
  volume = {26},
  number = {12},
  pages = {2273--2283}
}

  20. Generalized Singular Value Thresholding
    Canyi Lu, Changbo Zhu, Chunyan Xu, Shuicheng Yan and Zhouchen Lin
    AAAI Conference on Artificial Intelligence (AAAI), 2015
    [bibtex] [pdf] [arXiv] [poster] 

    @inproceedings{lu2015generalized,
  author = {Lu, Canyi and Zhu, Changbo and Xu, Chunyan and Yan, Shuicheng and Lin, Zhouchen},
  title = {Generalized Singular Value Thresholding},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2015}
}

  21. Imputation of ChIP-seq datasets via Low Rank Convex Co-Embedding
    Lin Zhu, Wei-Li Guo, De-Shuang Huang and Canyi Lu
    IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2015
    [bibtex] 

    @inproceedings{lu2015imputation,
  author = {Lin Zhu and Wei-Li Guo and De-Shuang Huang and Canyi Lu},
  title = {Imputation of ChIP-seq datasets via Low Rank Convex Co-Embedding},
  booktitle = {IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  year = {2015}
}

  22. Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization
    Canyi Lu, Zhouchen Lin and Shuicheng Yan
    IEEE Transactions on Image Processing (TIP), vol. 24, pp. 646-654, 2015
    [bibtex] [pdf] [arXiv] [code] 

    @article{lu2015smoothed,
  author = {Lu, Canyi and Lin, Zhouchen and Yan, Shuicheng},
  title = {Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization},
  journal = {IEEE Transactions on Image Processing (TIP)},
  year = {2015},
  volume = {24},
  number = {2},
  pages = {646-654}
}

  23. Adaptive Nonparametric Image Parsing
    Tam V. Nguyen, Canyi Lu, Jose Sepulveda and Shuicheng Yan
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 25, pp. 1565-1575, 2015
    [bibtex] [arXiv] 

    @article{nguyen2015adaptive,
  author = {Nguyen, Tam V and Lu, Canyi and Sepulveda, Jose and Yan, Shuicheng},
  title = {Adaptive Nonparametric Image Parsing},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)},
  publisher = {IEEE},
  year = {2015},
  volume = {25},
  number = {10},
  pages = {1565--1575}
}

  24. Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups
    Chunyan Xu, Canyi Lu, Junbin Gao, Wei Zheng, Tianjiang Wang and Shuicheng Yan
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 25, pp. 1576-1585, 2015
    [bibtex] [pdf] 

    @article{xu2015discriminative,
  author = {Xu, Chunyan and Lu, Canyi and Gao, Junbin and Zheng, Wei and Wang, Tianjiang and Yan, Shuicheng},
  title = {Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)},
  publisher = {IEEE},
  year = {2015},
  volume = {25},
  number = {10},
  pages = {1576--1585}
}

  25. Facial Analysis with a Lie Group Kernel
    Chunyan Xu, Canyi Lu, Junbin Gao, Tianjiang Wang and Shuicheng Yan
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 25, pp. 1140-1150, 2015
    [bibtex] [pdf] 

    @article{xu2015facial,
  author = {Xu, Chunyan and Lu, Canyi and Gao, Junbin and Wang, Tianjiang and Yan, Shuicheng},
  title = {Facial Analysis with a Lie Group Kernel},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)},
  publisher = {IEEE},
  year = {2015},
  volume = {25},
  number = {7},
  pages = {1140--1150}
}

  26. Efficient k-Support Matrix Pursuit
    Hanjiang Lai, Yan Pan, Canyi Lu, Yong Tang and Shuicheng Yan
    European Conference on Computer Vision (ECCV), 2014
    [bibtex] [pdf] 

    @inproceedings{lai2014efficient,
  author = {Lai, Hanjiang and Pan, Yan and Lu, Canyi and Tang, Yong and Yan, Shuicheng},
  title = {Efficient k-Support Matrix Pursuit},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year = {2014}
}

  27. Generalized Nonconvex Nonsmooth Low-Rank Minimization
    Canyi Lu, Jinhui Tang, Shuicheng Yan and Zhouchen Lin
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2014
    [bibtex] [pdf] [arXiv] [poster] [code] 

    @inproceedings{lu2014generalized,
  author = {Lu, Canyi and Tang, Jinhui and Yan, Shuicheng and Lin, Zhouchen},
  title = {Generalized Nonconvex Nonsmooth Low-Rank Minimization},
  booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2014}
}

  28. Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization
    Canyi Lu, Yunchao Wei, Zhouchen Lin and Shuicheng Yan
    AAAI Conference on Artificial Intelligence (AAAI), 2014
    [bibtex] [pdf] [arXiv] [poster] 

    @inproceedings{lu2014proximal,
  author = {Lu, Canyi and Wei, Yunchao and Lin, Zhouchen and Yan, Shuicheng},
  title = {Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2014}
}

  29. Robust Face Recognition via Adaptive Sparse Representation
    Jing Wang, Canyi Lu, Meng Wang, Peipei Li, Shuicheng Yan and Xuegang Hu
    IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (TCYB), vol. 44, pp. 2368-2378, 2014
    [bibtex] 

    @article{wang2014robust,
  author = {Wang, Jing and Lu, Canyi and Wang, Meng and Li, Peipei and Yan, Shuicheng and Hu, Xuegang},
  title = {Robust Face Recognition via Adaptive Sparse Representation},
  journal = {IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (TCYB)},
  year = {2014},
  volume = {44},
  number = {12},
  pages = {2368-2378}
}

  30. Correlation Adaptive Subspace Segmentation by Trace Lasso
    Canyi Lu, Jiashi Feng, Zhouchen Lin and Shuicheng Yan
    IEEE International Conference on Computer Vision (ICCV), 2013
    [bibtex] [pdf] [arXiv] [poster] [LibADMM Toolbox] 

    @inproceedings{lu2013correlation,
  author = {Lu, Canyi and Feng, Jiashi and Lin, Zhouchen and Yan, Shuicheng},
  title = {Correlation Adaptive Subspace Segmentation by Trace Lasso},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  year = {2013}
}

  31. Correntropy Induced L2 Graph for Robust Subspace Clustering
    Canyi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan and Zhouchen Lin
    IEEE International Conference on Computer Vision (ICCV), 2013
    [bibtex] [pdf] [arXiv] [poster] 

    @inproceedings{lu2013correntropy,
  author = {Lu, Canyi and Tang, Jinhui and Lin, Min and Lin, Liang and Yan, Shuicheng and Lin, Zhouchen},
  title = {Correntropy Induced L2 Graph for Robust Subspace Clustering},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  year = {2013}
}

  32. Face Recognition via Weighted Sparse Representation
    Can-Yi Lu, Hai Min, Jie Gui, Lin Zhu and Ying-Ke Lei
    Journal of Visual Communication and Image Representation (JVCIR), vol. 24, pp. 111-116, 2013
    [bibtex] [pdf] [code] 

    @article{lu2013face,
  author = {Lu, Can-Yi and Min, Hai and Gui, Jie and Zhu, Lin and Lei, Ying-Ke},
  title = {Face Recognition via Weighted Sparse Representation},
  journal = {Journal of Visual Communication and Image Representation (JVCIR)},
  publisher = {Elsevier},
  year = {2013},
  volume = {24},
  number = {2},
  pages = {111--116}
}

  33. Optimized Projections for Sparse Representation based Classification
    Can-Yi Lu and De-Shuang Huang
    Neurocomputing, vol. 113, pp. 213-219, 2013
    [bibtex] [pdf] [code] 

    @article{lu2013optimized,
  author = {Lu, Can-Yi and Huang, De-Shuang},
  title = {Optimized Projections for Sparse Representation based Classification},
  journal = {Neurocomputing},
  publisher = {Elsevier},
  year = {2013},
  volume = {113},
  pages = {213--219}
}

  34. Robust and Efficient Subspace Segmentation via Least Squares Regression
    Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang and Shuicheng Yan
    European Conference on Computer Vision (ECCV), pp. 347-360, 2012
    [bibtex] [pdf] [arXiv] [poster] [slides] [code] 

    @inproceedings{lu2012robust,
  author = {Lu, Can-Yi and Min, Hai and Zhao, Zhong-Qiu and Zhu, Lin and Huang, De-Shuang and Yan, Shuicheng},
  title = {Robust and Efficient Subspace Segmentation via Least Squares Regression},
  booktitle = {European Conference on Computer Vision (ECCV)},
  publisher = {Springer},
  year = {2012},
  pages = {347--360}
}