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魏艳涛 ( Yantao Wei )

School of Educational Information Technology

Central China Normal University

Title:Associate Professor

Zip:430079

Tel:

Email: yantaowei@mail.ccnu.edu.cn

Office Address:
9738


Research Interests
  Pattern Recognition; Machine Learning; Digital Image Processing; Computer Vision

Resume
  

The main research projects in recent years

Research Production

Courses

Computer Network
Theory of Matrices Probability and Statistics
Web Design and Development
Digital Image Processing

Other Information
[1] Yantao Wei, Xinge You, Hong Li, Multiscale Patch-based Contrast Measure for Small Infrared Target Detection, Pattern Recognition, Vol. 58, pp. 216–226, 2016. (SCI)
 
[2] Yicong Zhou, Yantao Wei, Learning Hierarchical Spectral-Spatial Features for Hyperspectral Image Classification, IEEE Transactions on Cybernetics, Vol. 46, pp. 1667-1678, 2016. (Corresponding author, SCI)

[3] Yantao Wei, Xinge You, He Deng, Small Infrared Target Detection Based on Image Patch Ordering, International Journal of Wavelets, Multiresolution and Information Processing, vol. 14, no. 2, pp. 1-14, 2016. (SCI)
 
[4] Lizhen Deng, Hu Zhua, Chao Tao, and Yantao Wei, Infrared Moving Point Target Detection Based on Spatial-temporal Local Contrast Filter, Infrared Physics & Technology vol. 76, pp. 168-173, 2016. (SCI)

[5] Yantao Wei, Guangrun Xiao, He Deng, Hong Chen, Mingwen Tong, Gang Zhao, and Qingtang Liu, Hyperspectral Image Classification Using FPCA-based Kernel Extreme Learning Machine, Optik - International Journal for Light and Electron Optics, vol. 126, no. 23, pp.3942-3948, 2015. (SCI)

[6] Y. Y. Tang, Tian Xia, Yantao Wei, Hong Li,and Luoqing Li, Hierarchical kernel-based rotation and scale invariant similarity, Pattern Recognition, vol. 47, no. 4, pp. 1674-1688, 2014. (Corresponding author, SCI)

[7] He Deng, Yantao Wei, Gang Zhao, and Qingtang Liu, Integration of local information-based transition region extraction and thresholding, Infrared Physics & Technology, vol. 66, pp. 103-113, 2014. (Corresponding author, SCI)
 
[8] Hong Li, Hongfeng Li, Yantao Wei, Yuan Yan Tang, Qiong Wang, Sparse-based neural response for image classification. Neurocomputing, vol. 144, pp. 198-207, 2014. (SCI)

[9] C. L. Philip Chen, Hong Li, Yantao Wei, Tian Xia, and Y. Y. Tang, A local contrast method for small infrared target detection, IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 1, pp. 574-581, 2014. (Corresponding author, SCI)
 
[10] Hong Li, Yantao Wei, Luoqing Li, and C. L. Philip Chen, Hierarchical feature extraction with local neural response for image recognition, IEEE Transactions on Cybernetics, vol. 43, no. 2, pp. 412-424, 2013. (SCI)

[11] He Deng, Yantao Wei, Mingwen Tong, Small Target Detection Based on Weighted Self-information Map, Infrared Physics & Technology, vol.60, pp. 197-206, 2013. (SCI)
 
[12] Ramadhan Abdo Musleh Alsaidi, Hong Li, Yantao Wei, RokanKhaji, and Y. Y. Tang,Hierarchical sparse method with applications in vision and speech recognition, International Journal of Wavelets, Multiresolution and Information Processing, vol. 11, no. 2, pp. 1350016 -1- 1350016 -20, 2013. (SCI)

[13] He Deng, Yantao Wei, and Mingwen Tong. Background suppression of small target image based on fast local reverse entropy operator, IET Computer Vision, Vol. 7, no. 5, pp. 405 - 413, 2013. (SCI)


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