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2010 – 2019
- 2017
[j5]Ting-An Chang, Yang-Ting Chou, Jar-Ferr Yang
:
Robust depth enhancement and optimization based on advanced multilateral filters. EURASIP J. Adv. Signal Process. 2017: 51 (2017)- [j4]Qingxiang Feng, Chun Yuan, Jeng-Shyang Pan, Jar-Ferr Yang, Yang-Ting Chou, Yicong Zhou, Weifeng Li:
Superimposed Sparse Parameter Classifiers for Face Recognition. IEEE Trans. Cybern. 47(2): 378-390 (2017) - 2016
- [j3]Yang-Ting Chou, Shih-Ming Huang, Jar-Ferr Yang:
Class-specific kernel linear regression classification for face recognition under low-resolution and illumination variation conditions. EURASIP J. Adv. Signal Process. 2016: 28 (2016) - [j2]Yang-Ting Chou, Jar-Ferr Yang:
Identity recognition based on generalised linear regression classification for multi-component images. IET Comput. Vis. 10(1): 18-27 (2016) - [c3]Yang-Ting Chou, Jar-Ferr Yang:
Partially-occluded face recognition using weighted module linear regression classification. ISCAS 2016: 578-581 - [c2]Yang-Ting Chou, Xiao Lu, Jar-Ferr Yang:
Census regression classification for face recognition against different variations. IVMSP 2016: 1-4 - [i1]Qingxiang Feng, Jeng-Shyang Pan, Jar-Ferr Yang, Yang-Ting Chou:
Polyhedron Volume-Ratio-based Classification for Image Recognition. CoRR abs/1601.07021 (2016) - 2014
- [j1]Shih-Ming Huang, Yang-Ting Chou, Jar-Ferr Yang:
Low-resolution face recognition in uses of multiple-size discrete cosine transforms and selective Gaussian mixture models. IET Comput. Vis. 8(5): 382-390 (2014) - [c1]Yang-Ting Chou, Jar-Ferr Kevin Yang:
Object recognition based on generalized linear regression classification in use of color information. APCCAS 2014: 272-275
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