全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

一种基于迁移学习的文本—图像特征映射算法

DOI: 10.13190/jbupt.201206.1.liuj, PP. 1-5

Keywords: 事件约束,迁移学习,文本—图像特征映射,共现数

Full-Text   Cite this paper   Add to My Lib

Abstract:

提出一种事件约束下基于迁移学习的文本—图像特征映射算法.通过潜在狄利克莱分配方法对事件文本数据进行主题建模,并通过计算主题特征的信息增益选出最显著的文本特征;用视觉词袋模型和朴素贝叶斯方法对事件图片进行主题建模;通过同事件下的文本数据特征分布和文本—图像共现数据特征分布,实现了对图像特征分布的近似.在包含15个主题事件的数据集上进行实验的结果证明了所提特征映射算法的有效性.

References

[1]  Zhu Zhenfeng, Zhu Xingquan, Ye Yangdong, et al. Transfer active learning//Proceedings of the 20th ACM International Conference on Information and Knowledge Management. Glasgow: ACM, 2011: 2169-2172.
[2]  Zhu Yin, Chen Yuqiang, Lu Zhongqi, et al. Heterogeneous transfer learning for image classification//Proceedings of the 25th AAAI Conference on Artificial Intelli- gence. San Francisco: AAAI Press, 2011: 1304-1309.
[3]  Qi Guojun, Aggarwal C, Huang Thomas. Towards semantic knowledge propagation from text corpus to web images//Proceedings of the 20th International Conference on World Wide Web. Hyderabad: ACM Press, 2011: 297-306.
[4]  Muslea I, Minton S, Knoblock C A. Active+semi-supervised learning=robust multi-view learning//Proceedings of the 19th International Conference on Machine Learning. Sydney: ACM Press, 2002: 435-442.
[5]  Pan S J L, Yang Qiang. A Survey on transfer learning[J]. IEEE Transaction on Knowledge and Data Engineering, 2010, 22(10): 1345-1359.
[6]  Pan Jialin. Feature-based transfer learning with real-world application. Hong Kong: The Hong Kong University of Science and Technology, 2010.
[7]  Porteous I, Newman D, Ihler A, et al. Fast collapsed gibbs sampling for latent dirichlet allocation//Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Las Vegas: ACM Press, 2008: 569-577.
[8]  Bay H, Eelaars A, Gool L V. Speed-up robust features (SURF) [J]. Computer Vision and Image Understanding, 2008, 110(3): 346-359.
[9]  Li Feifei, Perona P. A bayesian hierarchical model for learning natural scene categories//Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego: IEEE Press, 2005: 524-531.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133