A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems | |
Yang, Xi; Huang, Kaizhu; Zhang, Rui; Goulermas, John Y.; Hussain, Amir | |
刊名 | NEUROCOMPUTING
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2018 | |
卷号 | 312页码:352-363 |
关键词 | Factor analyzer Joint learning Dimensionality reduction Classification |
ISSN号 | 0925-2312 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2830019 |
专题 | 西安交通大学 |
推荐引用方式 GB/T 7714 | Yang, Xi,Huang, Kaizhu,Zhang, Rui,et al. A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems[J]. NEUROCOMPUTING,2018,312:352-363. |
APA | Yang, Xi,Huang, Kaizhu,Zhang, Rui,Goulermas, John Y.,&Hussain, Amir.(2018).A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems.NEUROCOMPUTING,312,352-363. |
MLA | Yang, Xi,et al."A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems".NEUROCOMPUTING 312(2018):352-363. |
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