MULTI-KERNEL COLLABORATIVE REPRESENTATION FOR IMAGE CLASSIFICATION

被引：0

作者：

Liu, Weiyang ^{[1
]}

Yu, Zhiding ^{[2
]}

Wen, Yandong ^{[3
]}

Yang, Meng ^{[4
]}

Zou, Yuexian ^{[1
]}

机构：

[1] Peking Univ, Sch ECE, Beijing, Peoples R China

[2] Carnegie Mellon Univ, Dept ECE, Pittsburgh, PA 15213 USA

[3] South China Univ Tech, Sch EIE, Guangzhou, Guangdong, Peoples R China

[4] Shenzhen Univ, Coll CS & SE, Shenzhen, Peoples R China

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2015年

关键词：

Multi-Kernel; Collaborative Representation; Image Classification;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We consider the image classification problem via multiple kernel collaborative representation (MKCR). We generalize the kernel collaborative representation based classification to a multi-kernel framework where multiple kernels are jointly learned with the representation coefficients. The intrinsic idea of multiple kernel learning is adopted in our MKCR model. Experimental results show MKCR converges within reasonable iterations and achieves state-of-the-art performance.

引用

页码：21 / 25

页数：5

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