Multi-feature spectral clustering with minimax optimization

• المؤلفون الرئيسيون: Wang, Hongxing, Weng, Chaoqun, Yuan, Junsong
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2015
• الموضوعات: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/103211; http://hdl.handle.net/10220/25753

In this paper, we propose a novel formulation for multi-feature clustering using minimax optimization. To find a consensus clustering result that is agreeable to all feature modalities, our objective is to find a universal feature embedding, which not only fits each individual feature modality well,...