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@article{bb102001,
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@article{bb102002,
        AUTHOR = "Tang, K.W. and Su, Z. and Liu, Y. and Jiang, W. and Zhang, J. and Sun, X.",
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norm minimization",
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@article{bb102003,
        AUTHOR = "Xia, Y. and Zhang, Z.",
        TITLE = "Scalable Feedback of Spectral Projection for Subspace Learning",
        JOURNAL = SPLetters,
        VOLUME = "26",
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@article{bb102004,
        AUTHOR = "Ashraphijuo, M. and Wang, X.D.",
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@article{bb102005,
        AUTHOR = "Li, B. and Lu, H. and Zhang, Y. and Lin, Z. and Wu, W.",
        TITLE = "Subspace Clustering Under Complex Noise",
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        VOLUME = "29",
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@article{bb102006,
        AUTHOR = "Abdolali, M. and Rahmati, M.",
        TITLE = "Robust subspace clustering for image data using clean dictionary
estimation and group lasso based matrix completion",
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@article{bb102007,
        AUTHOR = "Struski, L. and Spurek, P. and Tabor, J. and Smieja, M.",
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@article{bb102008,
        AUTHOR = "Yi, S. and Liang, Y. and He, Z. and Li, Y. and Cheung, Y.",
        TITLE = "Dual Pursuit for Subspace Learning",
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@article{bb102009,
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        YEAR = "2019",
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@article{bb102010,
        AUTHOR = "Guo, X.L. and Xie, X.Y. and Liu, G.C. and Wei, M.Q. and Wang, J.",
        TITLE = "Robust Low-rank subspace segmentation with finite mixture noise",
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@article{bb102011,
        AUTHOR = "Zhang, Y. and Wang, Q. and Gong, D.W. and Song, X.F.",
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unsupervised feature selection",
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@article{bb102012,
        AUTHOR = "Tang, C. and Zhu, X. and Liu, X. and Li, M. and Wang, P. and Zhang, C. and Wang, L.",
        TITLE = "Learning a Joint Affinity Graph for Multiview Subspace Clustering",
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@article{bb102013,
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on Triplet Relationship",
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@article{bb102014,
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        NUMBER = "7",
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@article{bb102015,
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Polarized Hyperspectral Images",
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@article{bb102016,
        AUTHOR = "Luo, J. and Jiao, L. and Liu, F. and Yang, S. and Ma, W.",
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@article{bb102017,
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@article{bb102018,
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@article{bb102019,
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@article{bb102020,
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        AUTHOR = "Wu, J. and Huang, L. and Yang, M. and Chang, L. and Liu, C.",
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@inproceedings{bb102024,
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@inproceedings{bb102033,
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@inproceedings{bb102068,
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@inproceedings{bb102069,
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@inproceedings{bb102070,
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@inproceedings{bb102071,
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@inproceedings{bb102072,
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@inproceedings{bb102073,
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@inproceedings{bb102074,
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@inproceedings{bb102075,
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@inproceedings{bb102076,
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@inproceedings{bb102080,
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@inproceedings{bb102081,
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