Local Self-Expression Subspace Learning Network for Motion Capture Data-Reference-Cited by-同舟云学术

Local Self-Expression Subspace Learning Network for Motion Capture Data

Published:2022 Issue: Volume:31 Page:4869-4883
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Xia Guiyu¹^ORCID,Xue Peng¹,Sun Huaijiang²^ORCID,Sun Yubao³^ORCID,Zhang Du⁴,Liu Qingshan³

Affiliation:

1. Jiangsu Key Laboratory of Big Data Analysis Technology, School of Automation, Nanjing University of Information Science and Technology, Nanjing, China

2. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

3. Jiangsu Key Laboratory of Big Data Analysis Technology, School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

4. Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China

Funder

National Natural Science Foundation of China

Macao Science and Technology Development Fund under Macao Funding Scheme for Key Research and Development Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9626658/09831066.pdf?arnumber=9831066

Reference62 articles.

1. Understanding visuo-motor primitives for motion synthesis and analysis

2. Efficient content-based retrieval of motion capture data

3. Structured AutoEncoders for Subspace Clustering

4. Multi-view low-rank sparse subspace clustering

5. Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds

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