A Novel Group-Sparsity-Optimization-Based Feature Selection Model for Complex Interaction Recognition
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-16814-2_33
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Morph Detection Enhanced by Structured Group Sparsity;2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2022-01
2. Human interaction recognition based on sparse representation of feature covariance matrices;Journal of Central South University;2018-02
3. PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-Modalities;Computer Vision – ECCV 2018;2018
4. A novel learning-based frame pooling method for event detection;Signal Processing;2017-11
5. InfAR dataset: Infrared action recognition at different times;Neurocomputing;2016-11
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