1. 毕业设计(论文)的内容和要求
基于自编码算法的痕迹图像识别研究痕迹检验是公共安全领域和司法实践活动的重要技术手段。
广义上讲,痕迹检验就是一种图像识别。
然而,与通常图像识别不同的是,痕迹图像的样本十分有限,限制了许多有效图像识别方法的应用。
2. 参考文献
「1] 深度学习:基于MATLAB 的设计实例/(韩) Phil Kim著 邹伟, 王振波, 王燕妮译/北京:北京航空航天大学出版社,2018「2] 深度学习基础教程/(美) 邸韡, 阿努拉格巴德瓦杰, 魏佳宁著 杨伟, 李征等译/北京:机械工业出版社,2018「3] MATLAB与机器学习/(美) 迈克尔帕拉斯泽克, 斯蒂芬妮托马斯著 李三平, 陈建平译/北京:机械工业出版社,2018「4]计算机视觉深度学习实战:以MATLAB、Python为工具/刘衍琦、詹福宇、王德建著/电子工业出版社,2019「5] MATLAB计算机视觉与深度学习实战/刘衍琦著/北京:电子工业出版社,2017「6] 基于深度学习的小样本图像分类方法研究/常东良编著/常州理工大学硕士学位论文,2019「7] 基于深度学习的小样本图像分类研究.徐希岩编著.东北林业大学硕士学位论文,2018「8] 线条工具痕迹的定量化检验鉴定研究.付一鸣编著.广东工业大学硕士学位论文,2018[9] 基于深度学习的CNN模型的图像情感特征抽取研究.李志义/图书情报工作期刊.2019,7,11[10] 卷积神经网络在局部放电图像模式识别中的应用.万晓琪.宋辉.电网技术期刊.2018,11,14[11] 基于深度卷积神经网络的番茄主要器官分类识别方法.周云成.许童羽.农业工程学报.2017,8,8[12] 基于深度学习编码模型的图像分类方法.赵永威.李婷. 工科学与技术期刊.2017.1.20[13] 深度卷积神经网络的显著性检测.李岳云.中国图象图形学报。
2016.1.16[14] 基础多尺度深度卷积特征的图像检索.宋利伟.福建师范大学学报(自然科学版)2016.9.14[15] Personalized itinerary recommendation: Deep and collaborative learning with textual information. Lei Chen;Expert Systems With Applicantions 2019,12[16] DNNRec: A novel deep learning based hybrid recommender systemKiran R; Systems With Applicantions 2019,12[17] BPDET: An effective software bug prediction model using deep representation and ensemble learning techniques ;Sushant Kumar Pandey; Systems With Applicantions 2019,12[18] DeepHarmony: A deep learning approach to contrast harmonization across scanner changes.Dewey Blake E; Magnetic resonance imaging,2019[19] Deep Learning for Chest Radiography in the Emergency Department.Munera Felipe; Munera Felipe,2019,12,28[20] Applications of a deep learning method for anti-aliasing and super-resolution in MRI.Zhao Can; Magnetic resonance imaging,2019,12,28[21] AI in MRI: A case for grassroots deep learning.Schilling Kurt G; Magnetic resonance imaging,2019,12,27[22] Differentiation of spinal metastases originated from lung and other cancers using radiomics and deep learning based on DCE-MRI.Lang Ning; Magnetic resonance imaging,2019,12,27[23] 基于小样本学习的SAR图像识别.汪航.计算机科学学报,2019,12,25[24] The input pattern problem on deep learning applied to signal analysis and processing to achieve fault diagnosis;Hao Ren; Science China Information Sciences, 2019, Vol.62 (12), pp.[25] Special focus on deep learning for computer vision;Yanwei Pang; Science China Information Sciences, 2019, Vol.62 (12), pp.1-1[26] Deep Learning and Neurology: A Systematic Review;Aly AI-Amyn Valliani; Neurology and Therapy, 2019, Vol.8 (2), pp.351-365
以上是毕业论文任务书,课题毕业论文、开题报告、外文翻译、程序设计、图纸设计等资料可联系客服协助查找。