Generalized locally nearest neighbor classifiers for object classification

被引：0

作者：

Zheng, WM ^{[1
]}

Zou, CR

Zhao, L

机构：

[1] Southeast Univ, Res Ctr Sci & Learning, Nanjing 210096, Jiangsu, Peoples R China

[2] Southeast Univ, Engn Res Ctr Informat Proc & Applicat, Nanjing 210096, Jiangsu, Peoples R China

来源：

FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 2, PROCEEDINGS | 2005年 / 3614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：

In this paper, we extend the locally nearest neighbor classifiers to tackle the nonlinear classification problems via the kernel trick. The better performance is confirmed by the handwritten zip code digits classification experiments on the US Postal Service (USPS) database.

引用

页码：95 / 99

页数：5

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