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

下载

页码：238 / 247

页数：10

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