基于卷积神经网络的领域自适应算法研究

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1、分类号TP957学号14060082UDC密级公开工学硕士学位论文基于卷积神经网络的领域自适应算法研究硕士生姓名高龙学科专业计算机科学与技术研究方向人工智能指导教师殷建平教授国防科学技术大学研究生院二〇一六年十二月AResearchOnConvolutionalNeuralNetworkBasedDomainAdaptationCandidate:GaoLongAdvisor:ProfessorYinJianpingAdissertationSubmittedinpartialfulfillmentoftherequirements

2、forthedegreeofMasterofEngineeringinComputerScienceandTechnologyGraduateSchoolofNationalUniversityofDefenseTechnologyChangsha,Hunan,P.R.ChinaDecember13,2016国防科学技术大学研究生院硕士学位论文目录摘要............................................................................................

3、............................iABSTRACT...............................................................................................................ii第一章绪论............................................................................................................11.1研究

4、背景及意义.......................................................................................11.2国内外研究现状.......................................................................................21.2.1卷积神经网络...................................................................

5、.............21.2.2领域自适应....................................................................................31.3研究工作概述...........................................................................................71.4论文内容安排..................................................

6、.........................................8第二章结合CORAL与dCNN的有监督领域自适应方法................................102.1引言...........................................................................................................102.2相关算法介绍............................................

7、...............................................102.2.1dCNN：带有域分类器的CNN.....................................................102.2.2CORAL：相关性对齐算法...........................................................122.3网络结构的简化与dCNN和CORAL的组合.......................................132

8、.3.1网络结构的简化............................................................................132.3.2分类器与CORAL算法的组合模型.......