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    Research on Image Classification Method Based on DCNN

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    Name:
    Research on Image Classification Method Based on DCNN-IEEE.pdf
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    454.9Kb
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    PDF
    Description:
    Accepted manuscript
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    Type
    Conference Paper
    Authors
    Ma, Chao
    Xu, Shuo
    Yi, Xianyong
    Li, Linyi
    Yu, Chenglong
    KAUST Department
    Computer Science
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2020-05-30
    Online Publication Date
    2020-05-30
    Print Publication Date
    2020-03
    Permanent link to this record
    http://hdl.handle.net/10754/663836
    
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    Abstract
    Image classification is a kind of image processing technology, which can recognize different things by the feature information given by pictures. With the rapid development of science and technology and people's higher and higher demand for quality of life, image automatic classification technology has been applied to various fields of development. When we classify the image, the traditional image classification method can not accurately grasp the internal relationship between the recognition objects, and the traditional method also has the limitation of the recognition object's feature expression because of the too high characteristic dimension of the data, so the experimental results are not ideal. In view of the above content, this paper proposes an image detection method based on convolutional neural network. The experimental algorithm mainly refers to deep learning and convolutional neural network. Different from the traditional image classification methods, the deep convolution neural network model can be used for feature learning and image classification at the same time. By improving the structure of each part of the experiment and optimizing the convolution neural network model, the over fitting phenomenon can be prevented, and then the accuracy of image detection can be improved. The experiment on cifar-10 database shows that the improved deep learning model of this method has achieved effective results in image detection.
    Citation
    Ma, C., Xu, S., Yi, X., Li, L., & Yu, C. (2020). Research on Image Classification Method Based on DCNN. 2020 International Conference on Computer Engineering and Application (ICCEA). doi:10.1109/iccea50009.2020.00192
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Conference/Event name
    2020 International Conference on Computer Engineering and Application, ICCEA 2020
    ISBN
    9781728159041
    DOI
    10.1109/ICCEA50009.2020.00192
    Additional Links
    https://ieeexplore.ieee.org/document/9103855/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICCEA50009.2020.00192
    Scopus Count
    Collections
    Conference Papers; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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