摘要
In this paper, a discriminative neighborhood preserving dictionary learning method is proposed. The geometrical structure of the feature space is used to preserve the similarity information of the features, and the features’ class information is employed to enhance the discriminative power of the learned dictionary. The Laplacian matrix which expresses the similarity information and the class information of the features is constructed and used in the objective function. Experimental results on four public datasets demonstrate the effectiveness of the proposed method.
源语言 | 英语 |
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主期刊名 | Image and Graphics - 8th International Conference, ICIG 2015, Proceedings |
编辑 | Yu-Jin Zhang |
出版商 | Springer Verlag |
页 | 185-196 |
页数 | 12 |
ISBN(印刷版) | 9783319219622 |
DOI | |
出版状态 | 已出版 - 2015 |
活动 | 8th International Conference on Image and Graphics, ICIG 2015 - Tianjin, 中国 期限: 13 8月 2015 → 16 8月 2015 |
出版系列
姓名 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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卷 | 9218 |
ISSN(印刷版) | 0302-9743 |
ISSN(电子版) | 1611-3349 |
会议
会议 | 8th International Conference on Image and Graphics, ICIG 2015 |
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国家/地区 | 中国 |
市 | Tianjin |
时期 | 13/08/15 → 16/08/15 |
指纹
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Zhang, S., Dong, Z., Wu, Y., & Pei, M. (2015). Discriminative neighborhood preserving dictionary learning for image classification. 在 Y.-J. Zhang (编辑), Image and Graphics - 8th International Conference, ICIG 2015, Proceedings (页码 185-196). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9218). Springer Verlag. https://doi.org/10.1007/978-3-319-21963-9_17