Human Motion Segmentation via Robust Kernel Sparse Subspace Clustering

DOI10.1109/TIP.2017.2738562zbMath1409.94671DBLPjournals/tip/XiaSFZL18OpenAlexW2743372195WikidataQ38623968 ScholiaQ38623968MaRDI QIDQ4616960

Y. Z. Liu, Guoqing Zhang, Lei Feng, Guiyu Xia, Huaijiang Sun

Publication date: 6 February 2019

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tip.2017.2738562

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (5)

Multiple kernel low-rank representation-based robust multi-view subspace clustering ⋮ Robust subspace clustering based on non-convex low-rank approximation and adaptive kernel ⋮ Likelihood-constrained coupled space learning for motion synthesis ⋮ Robust low-rank kernel multi-view subspace clustering based on the Schatten \(p\)-norm and correntropy ⋮ Coupled block diagonal regularization for multi-view subspace clustering

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