Skeleton-augmented Human Action Understanding by Learning with Progressively Refined Data-Reference-Cited by-同舟云学术

Skeleton-augmented Human Action Understanding by Learning with Progressively Refined Data

Published:2014 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from Multimedia - HuEvent '14
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Author:

Wei Shih-En,Tang Nick C.,Lin Yen-yu,Weng Ming-Fang,Liao Hong-Yuan Mark

Publisher

ACM Press

Reference11 articles.

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2. R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. LIBLINEAR: A library for large linear classification. J. Machine Learning Research, 2008.

3. T. F. Gonzalez. Clustering to minimize the maximum intercluster distance. Theor. Comput. Sci., 1985.

4. L. Gorelick, M. Blank, E. Shechtman, M. Irani, and R. Basri. Actions as space-time shapes. In Int'l Conf. Computer Vision, 2005.

5. S. Jones, L. Shao, J.-G. Zhang, and Y. Liu. Relevance feedback for real-world human action retrieval. Pattern Recognition Letter, 2012.

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