Ultrasonic Recognition of Cobalt Crust Based on Discriminatively Regularized Least-squares Classification

YANG Bo; BU Ying-yong

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Ultrasonic Recognition of Cobalt Crust Based on Discriminatively Regularized Least-squares Classification

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- Ultrasonic Recognition of Cobalt Crust Based on Discriminatively Regularized Least-squares Classification
- Acta Electronica Sinica Vol. 39, Issue 2, Pages: 448-452(2011)
- 作者机构：
  
  1. 湖南理工学院信息与通信工程学院,湖南,岳阳,414006
  2. 中南大学机电工程学院,湖南,长沙,410083
  3. 湖南理工学院信息与通信工程学院,湖南,岳阳,414006
  4. 中南大学机电工程学院,湖南,长沙,410083
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Published：2011
- 稿件说明：
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YANG Bo, BU Ying-yong. Ultrasonic Recognition of Cobalt Crust Based on Discriminatively Regularized Least-squares Classification[J]. Acta Electronica Sinica, 2011, 39(2): 448-452.
DOI：

YANG Bo, BU Ying-yong. Ultrasonic Recognition of Cobalt Crust Based on Discriminatively Regularized Least-squares Classification[J]. Acta Electronica Sinica, 2011, 39(2): 448-452. DOI：

摘要

为解决富含非线性流形特征的水下钴结壳超声识别问题

尝试引入一类鉴别流形正则化最小二乘机(Discriminatively Regularized Least-Squares Classifier

DRLSC).首先分析了原始DRLSC

指出其对应优化问题的非凸性.然后结合Ho-Kashyap分类器

提出了具有凸性的DRLSC模型

并给出了该模型的核化版本(Kernel DRLSC

KDRLSC).最后

将该模型应用于水下钴结壳超声识别中.实验结果表明

采用本文的KDRLSC进一步提高了钴结壳的识别分类正确率.

Abstract

The surface of cobalt crust contains plenty of nonlinear manifold features.In order to solve ultrasonic recognition of cobalt crust using its manifold features

a kind of Discriminatively Regularized Least-Squares Classifier(DRLSC) is introduced in this paper.At first

the fact is found that the original DRLSC is not of convexity in general.And then

based on Ho-Kashyap least-squares algorithm

a modified DRLSC which is of convexity and its kernelized edition(Kernel DRLSC

KDRLSC) are proposed.At last

the proposed classifier is used in ultrasonic recognition of cobalt crust.The experimental results show that the echo recognition correct rates of cobalt crust is improved using the proposed KDRLSC classifier.

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