Score distribution approach to automatic kernel selection for image retrieval systems

被引：0
|
作者：
Doloc-Mihu, Anca [1 ]
Raghavan, Vijay V. [1 ]
机构：
[1] Univ Louisiana, Lafayette, LA 70504 USA
来源：
FOUNDATIONS OF INTELLIGENT SYSTEMS, PROCEEDINGS | 2006年 / 4203卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper introduces a kernel selection method to automatically choose the best kernel type for a query by using the score distributions of the relevant and non-relevant images given by user as feedback. When applied to our data, the method selects the same best kernel (out of the 12 tried kernels) for a particular query as the kernel obtained from our extensive experimental results.
引用
收藏
页码：238 / 247
页数：10
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