Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jicheng, Meng"'
Publikováno v:
2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML).
In this paper, an advanced detection approach of illegal driving behavior is proposed using Single Shot MultiBox Detector (SSD) based on deep learning. The detection of driver’s illegal driving behavior includes cellphone usage, cigarette smoke and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7893f87e825fb21989f5fa444d1da1ad
https://doi.org/10.1109/prml52754.2021.9520735
https://doi.org/10.1109/prml52754.2021.9520735
Autor:
Jicheng Meng, Yuming Yang
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 9 (2012)
In this paper, weextensively investigate symmetrical two-dimensional principal component analysis (S2DPCA) and introduce two image measures for S2DPCA-based face recognition, volume measure (VM) and subspace distance measure (SM). Although symmetrica
Externí odkaz:
https://doaj.org/article/adca1759fd0047ad8f1a4ffc5dc189c2
Autor:
Tao Yang, Jicheng Meng
Publikováno v:
2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP).
Emphasizing on feature extraction and classification, but ignoring order importance, is a general phenomenon in machine learning. Here, we first review the views on order in cognitive science briefly. Furthermore, a simple experiment on Yale database
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1af922cb4c1204723d16c04b2372d672
https://doi.org/10.1109/iccwamtip.2017.8301448
https://doi.org/10.1109/iccwamtip.2017.8301448
Autor:
Xiaolong Zheng, Jicheng Meng
Publikováno v:
Applied Mathematics & Information Sciences. 7:2509-2514
We extensively investigate robust sparse two dimensional principal component analysis (RS2DPCA) that makes the best of semantic, structural information and suppresses outliers in this paper . The RS2DPCA combines the advantages of sparsity, 2D data f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2e74caa75bd0f25da7ddf6ecac21359
https://doi.org/10.12785/amis/070645
https://doi.org/10.12785/amis/070645
Autor:
Lei Xia, Jicheng Meng
Publikováno v:
International Journal of Infrared and Millimeter Waves. 28:413-421
In this paper, we introduce a new method, support vector regression (SVR) method, to model millimeter wave transitions. SVR is based on the structural risk minimization (SRM) principle, which leads to good generalization ability for regression proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b0fe2f051a5c6ed3a652094cbfcd6e5
https://doi.org/10.1007/s10762-007-9212-1
https://doi.org/10.1007/s10762-007-9212-1
Publikováno v:
IEEE Microwave and Wireless Components Letters. 17:819-821
The support vector regression (SVR) model for waveguide method of measuring the permittivity of asphalt concrete is presented in this letter. To validate the SVR model, simulated and measured data are employed. The training and testing data for the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e9850ae080787fae20b3e4183b54da0
https://doi.org/10.1109/lmwc.2007.910462
https://doi.org/10.1109/lmwc.2007.910462
Publikováno v:
IEEE Microwave and Wireless Components Letters. 16:639-641
In this letter, the support vector machine (SVM) regression approach is introduced to model the three-dimensional (3-D) high density microwave packaging structure. The SVM is based on the structural risk minimization principle, which leads to a good
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa1a5f0ed72e9f770ce2c00ea588ef89
https://doi.org/10.1109/lmwc.2006.885585
https://doi.org/10.1109/lmwc.2006.885585
Publikováno v:
Foundations and Applications of Intelligent Systems ISBN: 9783642378287
As an intrinsic property of fingerprint, orientation field plays many important roles in fingerprint verification, including fingerprint image segmentation, fingerprint enhancement, and fingerprint matching. The image quality and singularity of finge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfce5e87384aeaf124f122e077f146e4
https://doi.org/10.1007/978-3-642-37829-4_25
https://doi.org/10.1007/978-3-642-37829-4_25
Autor:
Jicheng Meng, Xiaolong Zheng
Publikováno v:
2012 Symposium on Photonics and Optoelectronics.
This paper proposes robust sparse 2DPCA (RS2DPCA) that makes the best of semantic, structural information and suppresses outliers. The proposed RS2DPCA combines the advantages of sparsity, 2D data format and L1-norm. To assess the performance of RS2D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8a1ec702b562a5f1ad8b7c93ddd0ebc
https://doi.org/10.1109/sopo.2012.6270566
https://doi.org/10.1109/sopo.2012.6270566