Likelihood-constrained coupled space learning for motion synthesis

DOI10.1016/j.ins.2021.08.001OpenAlexW3188090771MaRDI QIDQ6186796

Du Zhang, Qingshan Liu, Guiyu Xia, Peng Xue

Publication date: 10 January 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2021.08.001

zbMATH Keywords

motion synthesismotion patterncoupled space learningmotion likelihoodmotion naturalness

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Computational learning theory (68Q32) Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Unnamed Item
• Least angle regression. (With discussion)
• Human Motion Segmentation via Robust Kernel Sparse Subspace Clustering
• Nonlinear Low-Rank Matrix Completion for Human Motion Recovery
• Coupled Dictionary Training for Image Super-Resolution
• Model Selection and Estimation in Regression with Grouped Variables

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