Representative Selection with Structured Sparsity

• Main Authors: Wang, Hongxing, Kawahara, Yoshinobu, Weng, Chaoqun, Yuan, Junsong
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2017
• Subjects: Representative selection; Structured sparsity
• Online Access: https://hdl.handle.net/10356/82103; http://hdl.handle.net/10220/43501
• Institution: Nanyang Technological University

We propose a novel formulation to find representatives in data samples via learning with structured sparsity. To find representatives with both diversity and representativeness, we formulate the problem as a structurally-regularized learning where the objective function consists of a reconstruction...