Proceedings of the 2018 International Workshop on Education Reform and Social Sciences (ERSS 2018)

Analysis of the Value of College Chinese Courses

Authors
Yanan Cui
Corresponding Author
Yanan Cui
Available Online January 2019.
DOI
https://doi.org/10.2991/erss-18.2019.146How to use a DOI?
Keywords
College Chinese; Computer; Chinese Course; Course Value.
Abstract

Based on college Chinese curriculum research, computer integration software is used. Data processing is achieved by an image compensation method suitable for moving target detection under rotating imaging. Then, the sliding window dynamic time warping and CNN video facial expression recognition are combined to grasp the teacher's perception of the university language. Angle texture features are used to extract motion path analysis from high resolution remote sensing images. More data content was obtained. The value of this content is compared. By using hyperspectral human body image restoration with mixed total variation and low rank constraints and gradient-guided high-order geometric motion color image denoising model, the value of the research is reflected.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Workshop on Education Reform and Social Sciences (ERSS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2019
ISBN
978-94-6252-664-8
ISSN
2352-5398
DOI
https://doi.org/10.2991/erss-18.2019.146How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yanan Cui
PY  - 2019/01
DA  - 2019/01
TI  - Analysis of the Value of College Chinese Courses
BT  - Proceedings of the 2018 International Workshop on Education Reform and Social Sciences (ERSS 2018)
PB  - Atlantis Press
SP  - 742
EP  - 747
SN  - 2352-5398
UR  - https://doi.org/10.2991/erss-18.2019.146
DO  - https://doi.org/10.2991/erss-18.2019.146
ID  - Cui2019/01
ER  -