Discriminative orthogonal elastic preserving projections for classification
Discriminative orthogonal elastic preserving projections for classification
复制标题
用于分类的判别性正交弹性保留投影
DOI：
10.1016/j.neucom.2015.11.037
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发表时间：
2016-02
期刊：
影响因子：
6
通讯作者：
Jun Zhang
中科院分区：
文献类型：
--
作者：
Tingjin Luo;Chenping Hou;Dongyun Yi;Jun Zhang
The traditional manifold learning methods can preserve the local sub-manifold structure or the global geometry effectively, such as elastic preserving projections (EPP). Many experimental results have been shown that EPP, a recently developed linear algorithm, is a strong analyzer for high-dimensional data. However, for classification problems, the traditional methods focused on the geometrical information and ignores discriminative information of different classes. In this paper, we propose a novel discriminative orthogonal elastic preserving projections (DOEPP) by imposing the discriminant information and the orthogonal constraint to improve its classification performance. DOEPP does not only preserve the elasticity of the training set, but also sufficiently utilizes the discriminant information by adding maximum margin criterion and the orthogonality of the projection matrix into its objective function. Extensive experiments on two well-known synthetic manifold data sets and four publicly available databases illustrate the effectiveness of our method.
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DOI：
10.1109/icdm.2005.113
发表时间：
2005-11
期刊：
Fifth IEEE International Conference on Data Mining (ICDM'05)
影响因子：
--
作者：
E. Kokiopoulou;Y. Saad
通讯作者：
E. Kokiopoulou;Y. Saad
影响因子：
3.7
作者：
M. Timmerman
通讯作者：
M. Timmerman
影响因子：
8
作者：
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通讯作者：
Ji, Shuiwang
影响因子：
3.2
作者：
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通讯作者：
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DOI：
10.1016/j.patcog.2007.09.014
发表时间：
2008
期刊：
Pattern Recognit.
影响因子：
--
作者：
D. Hu;Guiyu Feng;Zongtan Zhou
通讯作者：
D. Hu;Guiyu Feng;Zongtan Zhou