Deep Manifold Structure Transfer for Action Recognition

While intrinsic data structure in subspace provides useful information for visual recognition, it has not yet been well studied in deep feature learning for action recognition. In this paper, we introduce a new spatio-temporal manifold network (STMN) that leverages data manifold structures to regula...

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Veröffentlicht in:	IEEE transactions on image processing 2019-09, Vol.28 (9), p.4646-4658
Hauptverfasser:	Li, Ce, Zhang, Baochang, Chen, Chen, Ye, Qixiang, Han, Jungong, Guo, Guodong, Ji, Rongrong
Format:	Artikel
Sprache:	eng
Schlagworte:	Action recognition ADMM-BP Algorithms alternating direction method of multipliers Artificial neural networks Backpropagation backward propagation Data structures Deep learning Feature recognition Machine learning manifold Manifolds Propagation Streaming media Three-dimensional displays
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