Tensor low-rank representation for data recovery and clustering

• Main Authors: ZHOU, Pan, LU, Canyi, FENG, Jiashi, LIN, Zhouchen, YAN, Shuicheng
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2021
• 主題: Tensor low-rank representation; low-rank tensor recovery; tensor data clustering; Databases and Information Systems
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/8997; https://ink.library.smu.edu.sg/context/sis_research/article/10000/viewcontent/2020_TPAMI_TLRR.pdf
• 機構: Singapore Management University

Multi-way or tensor data analysis has attracted increasing attention recently, with many important applications in practice. This article develops a tensor low-rank representation (TLRR) method, which is the first approach that can exactly recover the clean data of intrinsic low-rank structure and a...