Kernels in structured multi-feature spaces for image retrieval

被引：2
|
作者：
Djordjevic, D. [1 ]
Izquierdo, E. [1 ]
机构：
[1] Univ London Queen Mary Coll, Dept Elect Engn, London E1 4NS, England
来源：
ELECTRONICS LETTERS | 2006年 / 42卷 / 15期
关键词：
D O I：
10.1049/el:20061454
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：
A new kernel for structured multi-feature spaces is introduced. It exploits the diversity of information encapsulated in different features. The mathematical validity of the introduced kernel is proven in the context of a conventional convex optimisation problem for support vector machines. Computer simulations show high performance for classification of images.
引用
收藏
页码：856 / 857
页数：2
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