Outlier-robust tensor PCA

• المؤلفون الرئيسيون: ZHOU, Pan, FENG, Jiashi
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2016
• الموضوعات: Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/9008; https://ink.library.smu.edu.sg/context/sis_research/article/10011/viewcontent/2017_CVPR_RTPCA.pdf
• المؤسسة: Singapore Management University

Low-rank tensor analysis is important for various real applications in computer vision. However, existing methods focus on recovering a low-rank tensor contaminated by Gaussian or gross sparse noise and hence cannot effectively handle outliers that are common in practical tensor data. To solve this...