An Extended Nearest Neighbor Method Based on Bionic Pattern Recognition

ZHAO Ying; GAO Jun; WANG Rong-gui; HU Jing

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An Extended Nearest Neighbor Method Based on Bionic Pattern Recognition

更新时间：2025-07-16

- An Extended Nearest Neighbor Method Based on Bionic Pattern Recognition
- Acta Electronica Sinica Vol. 32, Issue S1, Pages: 199-202(2004)
- 作者机构：
  
  1. 合肥工业大学计算机与信息学院图像信息处理研究室,安徽,合肥,230009
  2. 中科院合肥分院智能机械研究所,安徽,合肥,230031
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2004
- 稿件说明：
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ZHAO Ying, GAO Jun, WANG Rong-gui, et al. An Extended Nearest Neighbor Method Based on Bionic Pattern Recognition[J]. Acta Electronica Sinica, 2004, 32(S1): 199-202.
DOI：

ZHAO Ying, GAO Jun, WANG Rong-gui, et al. An Extended Nearest Neighbor Method Based on Bionic Pattern Recognition[J]. Acta Electronica Sinica, 2004, 32(S1): 199-202. DOI：

摘要

本文在仿生模式识别理论的指导下

推广了传统的最邻近方法

提出一种新的广义最近邻方法.该方法利用同类样本间的连续性规律

增加了样本点个数.再通过由多个超球体的并所形成的几何形体

覆盖可能的样本点.将这一方法用于人脸识别仿真实验

实验结果表明该方法是有效可行的.

Abstract

With the direction of the theory of Bionic Pattern Recognition

this paper puts toward an extended nearest Neighbor method.It makes use of the continuity rule between the samples which belong to the same pattern to increase the number of samples.We cover the possible samples by means of the combination of the hyperspheres.This method is proved effective by simulation result of the face recognition experiment.

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