姚世红
Gender :
Female
Date of Birth :
1985-03-01
Education Level :
Doctoral Degree in Education
Degree :
Doctoral degree
Status :
在岗
School/Department :
空间信息系
Date of Employment :
2016-01-01
Discipline :
software engineering
Paper Publications
-
[1] 姚世红，贾振红，覃锡忠等. 基于微正则算法和支持向量机的话务量预测[J]. 计算机工程与应用, 2012, 48(3):105-106.
-
[2] 姚世红，贾振红，覃锡忠等. 基于Fisher的加权马尔可夫的话务预测[J]. 通信技术, 2011, 44(1):90-92.
-
[3] Shihong Yao, Tao Wang, Weiming Shen, Yanwen Chong. The chaotic measurement matrix for compressed sensing. 2015 International Conference on Intelligent Computing, ICIC 2015, Fuzhou, China, 2015, pp:58-64.( EI/ISTP)
-
[4] Shihong Yao, Tao Wang, Weiming Shen, Yanwen Chong. A Novel Combination Feature HOG-LSS for Pedestrian Detection. 9th International Conference on Intelligent Computing, ICIC 2013, Nanning, China, 2013, pp: 177-181. ( EI/ISTP)
-
[5] Shihong Yao, Tao Wang, Weiming Shen, Shaoming Pan, Yanwen Chong. Research of Incoherence Rotated Chaotic measurement matrix in compressed sensing. Multimedia Tools and Applications, 2015,76 (17) :1-19 .(SCI)
-
[6] Shihong Yao, Tao Wang, Weiming Shen, Shaoming Pan, Yanwen Chong. Feature Selection and Pedestrian Detection Based on Sparse Representation. Plos One, 2015, 10(8):e0134242, pp: 1-17. (SCI)
-
[7] Shihong Yao, Shaoming Pan, Tao Wang, et al. A New Pedestrian Detection Method Based on Combined HOG and LSS Features. Neurocomputing, 2015, 151, pp: 1006-1014. (SCI)
-
[8] Yao S, Guan Q, Wang S, et al. Fast sparsity adaptive matching pursuit algorithm for large-scale image reconstruction [J]. Eurasip Journal on Wireless Communications & Networking, DOI: 10.1186/s13638-018-1085-6, 2018, pp.1-8. (SCI)
-
[9] Yao S, Zheng Z, Wang T, et al. An efficient joint compression and sparsity estimation matching pursuit algorithm for artificial intelligence application [J]. Future Generation Computer Systems, DOI:10.1016/j.future.2018.04.039, 2018, pp. 603-613.(SCI)
-
[10] Shihong Yao, Zhigao Zheng, Tao Wang, et al. Sparsity estimation matching pursuit algorithm based on restricted isometry property for signal reconstruction. Future Generation Computer Systems, DOI:10.1016/j.future.2017.09.034, 2017, pp.1-8. (SCI)
Copyright © China University of Geosciences, Wuhan
Current position: