Decomposition-based tensor learning regression for improved classification of multimedia
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- 作者：Jianguang Zhanga ; b ; lynxzjg@tju.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Jianmin Jiangb ; jianmin.jiang@szu.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Tensor ; Logistic regression ; Tucker decomposition ; ℓFℓF-norm ; Multimedia classification
- 刊名：Journal of Visual Communication and Image Representation
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：41
- 期：Complete
- 页码：260-271
- 全文大小：1515 K
文摘
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We introduce logical Tucker regression based on tensor Tucker decomposition.
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We reveal the effect of the core tensor dimension for multimedia classification.
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Our method can effectively utilize the space–time information of multimedia data.