基于A-ELM的移动视觉搜索方法

doi:10.11959/j.issn.1000-0801.2016088

Abstract

Abstract:

Computer intelligence technology had been widely used in the field of image searching. Extreme learning machine has emerged as a new technology which overcomes the problems in traditional intelligent field and it has attracted more and more researchers. The algorithm performance of ELM was analyzed firstly，extending the method to image classification field. A basic mobile visual searching（BMVS）framework was proposed which applies ELM to image searching and optimizes the performance of ELM. Finally，the experiment proves the effectiveness of the method proposed by using ELM for the mobile vision searching. Through the experiments of comparison with SVM-based methods，the efficiency of the method proposed was also confirmed.

Key words: classification, extreme learning machine, mobile visual searching

Haiyang HU,Jun XU,Hua HU. Mobile visual searching method based on ascending extreme learning machine[J]. Telecommunications Science, 2016, 32(4): 92-102.

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测试正确率	1	2	3	4	5	平均值
ELM	86.667%	90.0%	86.667%	83.333%	86.667%	86.667%
SVM	80.0%	80.0%	80.0%	80.0%	80.0%	80.0%

对比项	ELM	SVM
训练样本平均正确率Accuracy	97.28%	85.72%
测试样本平均正确率Accuracy	86.667%	80%
分类器训练时间/s	0.574 4	1.667 3
分类器测试时间/s	1.294 035	1.540 635

对比项	ELM	A-ELM
测试准确度（是/否）	是	是
测试所花费时间/s：	0.563 23	6.230 265
手动调节L次数	11	0

Mobile visual searching method based on ascending extreme learning machine

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