3D human pose regression via robust sparse tensor subspace learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/article/10.1007/s11042-015-3186-0/fulltext.html
Reference41 articles.
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3. Chretien S, Darses S (2014) Sparse recovery with unknown variance a lasso-type approach. IEEE Trans Inf Theory 60(7):3970–3988
4. Deutscher J, Reid I (2005) Articulated body motion capture by stochastic search. Int J Comput Vis 61(2):185–205
5. Frey BJ, Dueck D (2007) Clustering by passing messages between data points. Science 315(5814):972–976
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1. Tensor learning and automated rank selection for regression-based video classification;Multimedia Tools and Applications;2018-04-27
2. Multi-activity 3D human motion recognition and tracking in composite motion model with synthesized transition bridges;Multimedia Tools and Applications;2017-06-04
3. Monocular three-dimensional human pose estimation using local-topology preserved sparse retrieval;Journal of Electronic Imaging;2017-05-13
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