Improved low rank representation : kernelization, efficient optimization and applications

• 主要作者: Xiao, Shijie
• 其他作者: Cai Jianfei
• 格式: Theses and Dissertations
• 語言: English
• 出版: 2016
• 主題: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• 在線閱讀: http://hdl.handle.net/10356/66234
• 機構: Nanyang Technological University

Given data sampled from multiple subspaces, the goal of subspace clustering is to partition data into several clusters, so that each cluster exactly corresponds to one subspace. Initially proposed for subspace clustering, the low rank representation (LRR) approach has shown promising results in vari...