每年的科研成果
每年的科研成果
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A convex formulation for semi-supervised multi-label feature selection
Chang, X., Nie, F., Yang, Y. & Huang, H., 2014, Proceedings of the National Conference on Artificial Intelligence. AI Access Foundation, 页码 1171-1177 7 页码 (Proceedings of the National Conference on Artificial Intelligence; 卷 2).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
229 引用 （Scopus） -
A closed form solution to multi-view low-rank regression
Zheng, S., Cai, X., Ding, C., Nie, F. & Huang, H., 1 6月 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, 页码 1973-1979 7 页码 (Proceedings of the National Conference on Artificial Intelligence; 卷 3).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
51 引用 （Scopus） -
Accelerating Flexible Manifold Embedding for Scalable Semi-Supervised Learning
Qiu, S., Nie, F., Xu, X., Qing, C. & Xu, D., 9月 2019, 在: IEEE Transactions on Circuits and Systems for Video Technology. 29, 9, 页码 2786-2795 10 页码, 8463514.科研成果: 期刊稿件 › 文章 › 同行评审
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3D human pose recovery from image by efficient visual feature selection
Chen, C., Yang, Y., Nie, F. & Odobez, J. M., 3月 2011, 在: Computer Vision and Image Understanding. 115, 3, 页码 290-299 10 页码科研成果: 期刊稿件 › 文章 › 同行评审
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2D Feature Selection by Sparse Matrix Regression
Hou, C., Jiao, Y., Nie, F., Luo, T. & Zhou, Z. H., 9月 2017, 在: IEEE Transactions on Image Processing. 26, 9, 页码 4255-4268 14 页码, 7944567.科研成果: 期刊稿件 › 文章 › 同行评审