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ORCIDJing-Yu Yang 0001
Jingyu Yang 0001 – Jing-yu Yang 0001
Person information
- affiliation: Nanjing University of Science and Technology, Jiangsu Key Laboratory of Image and Video Understanding for Social Security, China
Other persons with the same name
- Jing-Yu Yang (aka: Jing Yu Yang, Jing-yu Yang, Jingyu Yang) — disambiguation page
- Jing-Yu Yang 0002
![[0000-0002-7521-7920]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7521-7920")
(aka: Jingyu Yang 0002) — Tianjin University, School of Electrical and Information Engineering, China - Jing-Yu Yang 0003 (aka: Jingyu Yang 0003) — Huazhong University of Science and Technology, Ministry of Education and School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Wuhan, China
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2020 – today
- 2024
[j139]Guang-Hai Liu, Zuo-Yong Li, Jing-Yu Yang, David Zhang:
Exploiting sublimated deep features for image retrieval. Pattern Recognit. 147: 110076 (2024)- 2023
- [j138]Guanghai Liu, Jing-Yu Yang:
Exploiting deep textures for image retrieval. Int. J. Mach. Learn. Cybern. 14(2): 483-494 (2023) - 2021
- [j137]Xiao-Yuan Jing, Xinyu Zhang, Xiaoke Zhu, Fei Wu, Xinge You, Yang Gao, Shiguang Shan, Jing-yu Yang:
Multiset Feature Learning for Highly Imbalanced Data Classification. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 139-156 (2021) - [j136]Guang-Hai Liu, Jing-Yu Yang:
Deep-seated features histogram: A novel image retrieval method. Pattern Recognit. 116: 107926 (2021) - [j135]Xiaohong Zhang, Yi Chen, Haofeng Zhang, Shuihua Wang, Jianfeng Lu, Jingyu Yang:
When Visual Disparity Generation Meets Semantic Segmentation: A Mutual Encouragement Approach. IEEE Trans. Intell. Transp. Syst. 22(3): 1853-1867 (2021) - [j134]Shiyu Liu, Haofeng Zhang, Ling Shao, Jingyu Yang:
Built-in Depth-Semantic Coupled Encoding for Scene Parsing, Vehicle Detection, and Road Segmentation. IEEE Trans. Intell. Transp. Syst. 22(9): 5520-5534 (2021) - [c82]Xiaohong Zhang, Haofeng Zhang, Jianfeng Lu, Ling Shao, Jingyu Yang:
Target-targeted Domain Adaptation for Unsupervised Semantic Segmentation. ICRA 2021: 13560-13566 - 2020
- [j133]Sheng Wang, Haishun Du, Ge Zhang, Jianfeng Lu, Jingyu Yang:
Robust canonical correlation analysis based on L1-norm minimization for feature learning and image recognition. J. Electronic Imaging 29(2): 023001 (2020) - [j132]Sheng Wang, Haishun Du, Ge Zhang, Jianfeng Lu, Jingyu Yang:
Robust canonical correlation analysis based on L1-norm minimization for feature learning and image recognition (Erratum). J. Electronic Imaging 29(3): 039801 (2020) - [j131]Andong Wang, Zhong Jin, Jing-yu Yang:
A faster tensor robust PCA via tensor factorization. Int. J. Mach. Learn. Cybern. 11(12): 2771-2791 (2020)
2010 – 2019
- 2019
- [j130]Guang-Hai Liu, Jing-Yu Yang:
Exploiting Color Volume and Color Difference for Salient Region Detection. IEEE Trans. Image Process. 28(1): 6-16 (2019) - [j129]Lingli Zhou, Haofeng Zhang, Yang Long, Ling Shao, Jingyu Yang:
Depth Embedded Recurrent Predictive Parsing Network for Video Scenes. IEEE Trans. Intell. Transp. Syst. 20(12): 4643-4654 (2019) - [c81]Xulin Song, Jingyu Yang, Zhong Jin:
Residual Attention Encoding Neural Network for Terrain Texture Classification. ACPR (2) 2019: 52-63 - [c80]Andong Wang, Zhong Jin, Jingyu Yang:
A Factorization Strategy for Tensor Robust PCA. ACPR (1) 2019: 424-437 - 2018
- [j128]Jinxia Zhang, Shixiong Fang, Krista A. Ehinger, Haikun Wei, Wankou Yang, Kanjian Zhang, Jingyu Yang:
Hypergraph Optimization for Salient Region Detection Based on Foreground and Background Queries. IEEE Access 6: 26729-26741 (2018) - [j127]Lei Luo, Qinghua Tu, Jian Yang, Jingyu Yang:
An adaptive line search scheme for approximated nuclear norm based matrix regression. Neurocomputing 289: 23-31 (2018) - [j126]Furong Peng, Xuan Lu, Chao Ma, Yuhua Qian, Jianfeng Lu, Jingyu Yang:
Multi-level preference regression for cold-start recommendations. Int. J. Mach. Learn. Cybern. 9(7): 1117-1130 (2018) - 2017
- [j125]Jing-Yu Yang, Quan-Sen Sun:
A Novel Generalized Fuzzy Canonical Correlation Analysis Framework for Feature Fusion and Recognition. Neural Process. Lett. 46(2): 521-536 (2017) - [j124]Jinxia Zhang, Krista A. Ehinger, Haikun Wei, Kanjian Zhang, Jingyu Yang:
A novel graph-based optimization framework for salient object detection. Pattern Recognit. 64: 39-50 (2017) - [j123]Jinxia Zhang, Krista A. Ehinger, Haikun Wei, Kanjian Zhang, Jingyu Yang:
Erratum to: A novel graph-based optimization framework for salient object detection [Pattern Recognition 64C (2017) 39-50]. Pattern Recognit. 71: 387-388 (2017) - [j122]Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Ruimin Hu, Xinge You, Yunhong Wang, Hui Feng, Jing-Yu Yang:
Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning. IEEE Trans. Image Process. 26(3): 1363-1378 (2017) - [c79]Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-Yu Yang:
Multiset Feature Learning for Highly Imbalanced Data Classification. AAAI 2017: 1583-1589 - 2016
- [j121]Jun Hu, Yang Li, Jing-Yu Yang, Hong-Bin Shen, Dong-Jun Yu:
GPCR-drug interactions prediction using random forest with drug-association-matrix-based post-processing procedure. Comput. Biol. Chem. 60: 59-71 (2016) - [j120]Sheng Wang, Jianfeng Lu, Xingjian Gu, Benjamin Asubam Weyori, Jing-Yu Yang:
Unsupervised discriminant canonical correlation analysis based on spectral clustering. Neurocomputing 171: 425-433 (2016) - [j119]Xiaoning Song, Zhen-Hua Feng, Xibei Yang, Xiaojun Wu, Jingyu Yang:
Towards multi-scale fuzzy sparse discriminant analysis using local third-order tensor model of face images. Neurocomputing 185: 53-63 (2016) - [j118]Furong Peng, Jianfeng Lu, Yongli Wang, Richard Yi Da Xu, Chao Ma, Jingyu Yang:
N-dimensional Markov random field prior for cold-start recommendation. Neurocomputing 191: 187-199 (2016) - [j117]Jun Hu, Yang Li, Wuxia Yan, Jing-Yu Yang, Hong-Bin Shen, Dong-Jun Yu:
KNN-based dynamic query-driven sample rescaling strategy for class imbalance learning. Neurocomputing 191: 363-373 (2016) - [j116]Zhisen Wei, Ke Han, Jing-Yu Yang, Hong-Bin Shen, Dong-Jun Yu:
Protein-protein interaction sites prediction by ensembling SVM and sample-weighted random forests. Neurocomputing 193: 201-212 (2016) - [j115]Hengrong Ju, Xibei Yang, Hualong Yu, Tongjun Li, Dong-Jun Yu, Jingyu Yang:
Cost-sensitive rough set approach. Inf. Sci. 355-356: 282-298 (2016) - [j114]Sheng Wang, Jianfeng Lu, Xingjian Gu, Chunhua Shen, Rui Xia, Jing-Yu Yang:
Canonical principal angles correlation analysis for two-view data. J. Vis. Commun. Image Represent. 35: 209-219 (2016) - [j113]Huili Dou, Xibei Yang, Xiaoning Song, Hualong Yu, Wei-Zhi Wu, Jingyu Yang:
Decision-theoretic rough set: A multicost strategy. Knowl. Based Syst. 91: 71-83 (2016) - [j112]Suping Xu, Xibei Yang, Hualong Yu, Dong-Jun Yu, Jingyu Yang, Eric C. C. Tsang:
Multi-label learning with label-specific feature reduction. Knowl. Based Syst. 104: 52-61 (2016) - [j111]Huan Wang, Mingwu Ren, Jingyu Yang:
Capitalizing on the boundary ratio prior for road detection. Multim. Tools Appl. 75(19): 11999-12019 (2016) - [j110]Fei Wu, Xiao-Yuan Jing, Xinge You, Dong Yue, Ruimin Hu, Jing-Yu Yang:
Multi-view low-rank dictionary learning for image classification. Pattern Recognit. 50: 143-154 (2016) - [j109]Sheng Wang, Jianfeng Lu, Xingjian Gu, Haishun Du, Jing-Yu Yang:
Semi-supervised linear discriminant analysis for dimension reduction and classification. Pattern Recognit. 57: 179-189 (2016) - [j108]Fei Wu, Xiao-Yuan Jing, Xiwei Dong, Qi Ge, Songsong Wu, Qian Liu, Dong Yue, Jing-Yu Yang:
Uncorrelated multi-set feature learning for color face recognition. Pattern Recognit. 60: 630-646 (2016) - [j107]Hui Yan, Jian Yang, Jing-Yu Yang:
Robust Joint Feature Weights Learning Framework. IEEE Trans. Knowl. Data Eng. 28(5): 1327-1339 (2016) - [c78]Furong Peng, Xuan Lu, Jianfeng Lu, Richard Yi Da Xu, Cheng Luo, Chao Ma, Jingyu Yang:
MetricRec: Metric Learning for Cold-Start Recommendations. ADMA 2016: 445-458 - [c77]Songsong Wu, Xiao-Yuan Jing, Dong Yue, Jian Zhang, K. Jian Yang, Jingyu Yang:
Unsupervised visual domain adaptation via dictionary evolution. ICME 2016: 1-6 - [c76]Wei Zheng, Hui Yan, Jian Yang, Jingyu Yang:
Robust unsupervised feature selection by nonnegative sparse subspace learning. ICPR 2016: 3615-3620 - 2015
- [j106]Xibei Yang, Yong Qi, Dong-Jun Yu, Hualong Yu, Jingyu Yang:
α-Dominance relation and rough sets in interval-valued information systems. Inf. Sci. 294: 334-347 (2015) - [j105]Xiaoning Song, Zhen-Hua Feng, Guosheng Hu, Xibei Yang, Jing-Yu Yang, Yunsong Qi:
Progressive sparse representation-based classification using local discrete cosine transform evaluation for image recognition. J. Electronic Imaging 24(5): 053010 (2015) - [j104]Hengrong Ju, Xibei Yang, Yong Qi, Jingyu Yang:
量化粗糙集的单调性属性约简方法 (Approach to Monotonicity Attribute Reduction in Quantitative Rough Set). 计算机科学 42(8): 36-39 (2015) - [j103]Guang-Hai Liu, Jing-Yu Yang, Zuoyong Li:
Content-based image retrieval using computational visual attention model. Pattern Recognit. 48(8): 2554-2566 (2015) - [j102]Xiaoning Song, Zi Liu, Jing-Yu Yang, Xiaojun Wu:
Using idea of three-step sparse residuals measurement to perform discriminant analysis. Soft Comput. 19(8): 2355-2370 (2015) - [j101]Dong-Jun Yu, Yang Li, Jun Hu, Xibei Yang, Jing-Yu Yang, Hong-Bin Shen:
Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 12(3): 611-621 (2015) - [c75]Mingwei Xu, Songsong Wu, Xiao-Yuan Jing, Jing-Yu Yang:
Kernel subspace alignment for unsupervised domain adaptation. ICIP 2015: 2880-2884 - [c74]Zhisen Wei, Jing-Yu Yang, Dong-Jun Yu:
Predicting Protein-Protein Interactions with Weighted PSSM Histogram and Random Forests. IScIDE (2) 2015: 326-335 - [r4]Jian Yang, Jingyu Yang:
Image Pattern Recognition. Encyclopedia of Biometrics 2015: 905-909 - [r3]Jian Yang, Zhong Jin, Jingyu Yang:
Nonlinear Techniques for Dimension Reduction. Encyclopedia of Biometrics 2015: 1163-1168 - 2014
- [j100]Dong-Jun Yu, Jun Hu, Hui Yan, Xibei Yang, Jing-Yu Yang, Hong-Bin Shen:
Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble. BMC Bioinform. 15: 297 (2014) - [j99]Songsong Wu, Xiao-Yuan Jing, Zhisen Wei, Jian Yang, Jingyu Yang:
Learning image manifold via local tensor subspace alignment. Neurocomputing 139: 22-33 (2014) - [j98]Yanting Lu, Liantao Wang, Jianfeng Lu, Jingyu Yang, Chunhua Shen:
Multiple kernel clustering based on centered kernel alignment. Pattern Recognit. 47(11): 3656-3664 (2014) - [c73]Xiao-Yuan Jing, Ruimin Hu, Yang-Ping Zhu, Shanshan Wu, Chao Liang, Jing-Yu Yang:
Intra-View and Inter-View Supervised Correlation Analysis for Multi-View Feature Learning. AAAI 2014: 1882-1889 - [c72]Jinxia Zhang, Krista A. Ehinger, Jundi Ding, Jing-Yu Yang:
A prior-based graph for salient object detection. ICIP 2014: 1175-1178 - [c71]Songsong Wu, Xiao-Yuan Jing, Jian Yang, Jing-Yu Yang:
Learning image manifold using neighboring similarity integration. ICIP 2014: 1897-1901 - [c70]Furong Peng, Qiang Wu, Lixin Fan, Jian Zhang, Yu You, Jianfeng Lu, Jing-Yu Yang:
Street view cross-sourced point cloud matching and registration. ICIP 2014: 2026-2030 - [c69]Sheng Wang, Xingjian Gu, Jianfeng Lu, Jing-Yu Yang, Ruili Wang, Jian Yang:
Unsupervised Discriminant Canonical Correlation Analysis for Feature Fusion. ICPR 2014: 1550-1555 - [c68]Lei Luo, Jian Yang, Jianjun Qian, Jingyu Yang:
Nuclear Norm Regularized Sparse Coding. ICPR 2014: 1834-1839 - [c67]Wei Luo, Fanglong Zhang, Jian Yang, Jing-Yu Yang:
Region Tree Based Sparse Model for Optical Flow Estimation. ICPR 2014: 2077-2082 - 2013
- [j97]Yong Xu, Zizhu Fan, Minna Qiu, David Zhang, Jing-Yu Yang:
A sparse representation method of bimodal biometrics and palmprint recognition experiments. Neurocomputing 103: 164-171 (2013) - [j96]Dong-Jun Yu, Jun Hu, Zhenmin Tang, Hong-Bin Shen, Jian Yang, Jing-Yu Yang:
Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling. Neurocomputing 104: 180-190 (2013) - [j95]Cairong Zhao, Duoqian Miao, Zhihui Lai, Can Gao, Chuancai Liu, Jingyu Yang:
Two-dimensional color uncorrelated discriminant analysis for face recognition. Neurocomputing 113: 251-261 (2013) - [j94]Dong-Jun Yu, Jun Hu, Yan Huang, Hong-Bin Shen, Yong Qi, Zhenmin Tang, Jing-Yu Yang:
TargetATPsite: A template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble. J. Comput. Chem. 34(11): 974-985 (2013) - [j93]Jianguo Wang, Wankou Yang, Jingyu Yang:
Face recognition using fuzzy maximum scatter discriminant analysis. Neural Comput. Appl. 23(3-4): 957-964 (2013) - [j92]Yong Xu, Zhengming Li, Jeng-Shyang Pan, Jing-Yu Yang:
Face recognition based on fusion of multi-resolution Gabor features. Neural Comput. Appl. 23(5): 1251-1256 (2013) - [j91]Guang-Hai Liu, Jing-Yu Yang:
Content-based image retrieval using color difference histogram. Pattern Recognit. 46(1): 188-198 (2013) - [j90]Dong-Jun Yu, Jun Hu, Jing Yang, Hong-Bin Shen, Jinhui Tang, Jing-Yu Yang:
Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 10(4): 994-1008 (2013) - [j89]Jian Yang, Delin Chu, Lei Zhang, Yong Xu, Jingyu Yang:
Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition. IEEE Trans. Neural Networks Learn. Syst. 24(7): 1023-1035 (2013) - [c66]Qian Liu, Xiao-Yuan Jing, Ruimin Hu, Yong-Fang Yao, Jing-Yu Yang:
Similarity preserving analysis based on sparse representation for image feature extraction and classification. ICIP 2013: 3013-3016 - 2012
- [j88]Qian Liu, Chao Lan, Xiao-Yuan Jing, Shi-Qiang Gao, David Zhang, Jing-Yu Yang:
Sparsity Preserving Embedding with Manifold Learning and Discriminant Analysis. IEICE Trans. Inf. Syst. 95-D(1): 271-274 (2012) - [j87]Tao Wu, Jianfeng Lu, Yanting Lu, Jingyu Yang:
Research on segmentation of dorsal diencephalon and ventral midbrain of zebrafish embryo based on active contour model. Int. J. Comput. Biol. Drug Des. 5(1): 3-15 (2012) - [j86]Jianfeng Lu, Tao Wu, Lei Cheng, Zhenwen Zhu, Jingyu Yang:
Morphological analysis of zebrafish embryo tails. Int. J. Comput. Biol. Drug Des. 5(1): 75-88 (2012) - [j85]Xibei Yang, Yuhua Qian, Jing-Yu Yang:
Hierarchical Structures on Multigranulation Spaces. J. Comput. Sci. Technol. 27(6): 1169-1183 (2012) - [j84]Yong Xu, Binglei Xie, Jingyu Yang:
Theoretical analysis of locality preserving projection and a fast orthogonal locality preserving projection algorithm. J. Electronic Imaging 21(3): 033024 (2012) - [j83]Jian Yang, Lei Zhang, Yong Xu, Jing-Yu Yang:
Beyond sparsity: The role of L1-optimizer in pattern classification. Pattern Recognit. 45(3): 1104-1118 (2012) - [j82]Xiao-Yuan Jing, Sheng Li, David Zhang, Chao Lan, Jingyu Yang:
Optimal subset-division based discrimination and its kernelization for face and palmprint recognition. Pattern Recognit. 45(10): 3590-3602 (2012) - [j81]Q. Tu, Jianfeng Lu, Bo Yuan, J. B. Tang, Jing-Yu Yang:
Density-based hierarchical clustering for streaming data. Pattern Recognit. Lett. 33(5): 641-645 (2012) - [j80]Xiao-Yuan Jing, Chao Lan, David Zhang, Jing-Yu Yang, Min Li, Sheng Li, Songhao Zhu:
Face feature extraction and recognition based on discriminant subclass-center manifold preserving projection. Pattern Recognit. Lett. 33(6): 709-717 (2012) - [j79]Xiao-Yuan Jing, Sheng Li, Wen-Qian Li, Yong-Fang Yao, Chao Lan, Jiasen Lu, Jing-Yu Yang:
Palmprint and Face Multi-Modal Biometric Recognition Based on SDA-GSVD and Its Kernelization. Sensors 12(5): 5551-5571 (2012) - [j78]Xiao-Yuan Jing, Sheng Li, David Zhang, Jian Yang, Jing-Yu Yang:
Supervised and Unsupervised Parallel Subspace Learning for Large-Scale Image Recognition. IEEE Trans. Circuits Syst. Video Technol. 22(10): 1497-1511 (2012) - [c65]Yanting Lu, Jianfeng Lu, Liantao Wang, Jing-Yu Yang:
Constructing Class Hierarchy via Adaptive Kernel Learning. CCPR 2012: 72-79 - [c64]Shenglan Ben, Jie Ma, Zhong Jin, Jingyu Yang:
Encode Locally, Discriminate Holistically: A Method Extracting Multi-resolution Features for Facial Age Estimation. CCPR 2012: 292-299 - [c63]Yanting Lu, Jianfeng Lu, Jingyu Yang:
Adaptive kernel learning based on centered alignment for hierarchical classification. ICPR 2012: 569-572 - [c62]Shenglan Ben, Zhong Jin, Jingyu Yang:
Automatic fuzzy clustering based on mistake analysis. ICPR 2012: 2914-2917 - [c61]Jingbo Zhou, Zhong Jin, Jingyu Yang:
Multiscale saliency detection using principle component analysis. IJCNN 2012: 1-6 - [c60]Songsong Wu, Zhisen Wei, Xiao-Yuan Jing, Jian Yang, Jingyu Yang:
Learning Compact Representation for Image with Tensor Manifold Perspective. IScIDE 2012: 664-671 - 2011
- [j77]Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jianfeng Lu, Jing-Yu Yang:
Graph attribute embedding via Riemannian submersion learning. Comput. Vis. Image Underst. 115(7): 962-975 (2011) - [j76]Xu Yong, David Zhang, Jian Yang, Jin Zhong, Jingyu Yang:
Evaluate Dissimilarity of Samples in Feature Space for Improving KPCA. Int. J. Inf. Technol. Decis. Mak. 10(3): 479-495 (2011) - [j75]Hui Yan, Jian Yang, Jingyu Yang:
Bimode model for face recognition and face representation. Neurocomputing 74(5): 741-748 (2011) - [j74]Songsong Wu, Mingming Sun, Jingyu Yang:
Stochastic neighbor projection on manifold for feature extraction. Neurocomputing 74(17): 2780-2789 (2011) - [j73]Wankou Yang, Changyin Sun, Helen S. Du, Jingyu Yang:
Feature Extraction Using Laplacian Maximum Margin Criterion. Neural Process. Lett. 33(1): 99-110 (2011) - [j72]Wankou Yang, Changyin Sun, Jingyu Yang, Helen S. Du, Karl Ricanek:
Face Recognition Using Kernel UDP. Neural Process. Lett. 34(2): 177-192 (2011) - [j71]Jian Yang, Lei Zhang, Jing-Yu Yang, David Zhang:
From classifiers to discriminators: A nearest neighbor rule induced discriminant analysis. Pattern Recognit. 44(7): 1387-1402 (2011) - [j70]Hui Yan, Xiaotong Yuan, Shuicheng Yan, Jingyu Yang:
Correntropy based feature selection using binary projection. Pattern Recognit. 44(12): 2834-2842 (2011) - [j69]Xiao-Yuan Jing, Sheng Li, Chao Lan, David Zhang, Jingyu Yang, Qian Liu:
Color image canonical correlation analysis for face feature extraction and recognition. Signal Process. 91(8): 2132-2140 (2011) - [j68]Xiaoning Song, Jingyu Yang, Xiaojun Wu, Xibei Yang:
An optimal symmetrical null space criterion of Fisher discriminant for feature extraction and recognition. Soft Comput. 15(2): 281-293 (2011) - [j67]Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang:
A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition. IEEE Trans. Circuits Syst. Video Technol. 21(9): 1255-1262 (2011) - [c59]Mingming Sun, David Zhang, Jingyu Yang:
Face attractiveness improvement using beauty prototypes and decision. ACPR 2011: 283-287 - [c58]Songsong Wu, Wei Li, Zhisen Wei, Jingyu Yang:
Local Discriminative Orthogonal Rank-One Tensor Projection for image feature extraction. ACPR 2011: 367-371 - [c57]Xiao-Yuan Jing, Chao Lan, Min Li, Yong-Fang Yao, David Zhang, Jingyu Yang:
Class-imbalance learning based discriminant analysis. ACPR 2011: 545-549 - [c56]Xiao-Yuan Jing, Sheng Li, Songhao Zhu, Qian Liu, Jingyu Yang, Jiasen Lu:
Supervised local sparsity preserving projection for face feature extraction. ACPR 2011: 555-559 - [c55]Jiang-Yue Man, Xiao-Yuan Jing, Qian Liu, Yong-Fang Yao, Kun Li, Jingyu Yang:
Color Face Recognition Based on Statistically Orthogonal Analysis of Projection Transforms. CCBR 2011: 58-65 - [c54]Cai-Kou Chen, Jingyu Yang:
Essence of Two-Dimensional Principal Component Analysis and Its Generalization: Multi-dimensional PCA. IBICA 2011: 85-90 - [c53]Chao Lan, Xiao-Yuan Jing, David Zhang, Shi-Qiang Gao, Jingyu Yang:
Discriminant subclass-center manifold preserving projection for face feature extraction. ICIP 2011: 3013-3016 - [c52]Xiao-Yuan Jing, Sheng Li, David Zhang, Jingyu Yang:
Face recognition based on local uncorrelated and weighted global uncorrelated discriminant transforms. ICIP 2011: 3049-3052 - [c51]Shenglan Ben, Zhong Jin, Jingyu Yang:
Guided fuzzy clustering with multi-prototypes. IJCNN 2011: 2430-2436 - 2010
- [j66]Xiaoning Song, Yu-Jie Zheng, Xiaojun Wu, Xibei Yang, Jing-Yu Yang:
A complete fuzzy discriminant analysis approach for face recognition. Appl. Soft Comput. 10(1): 208-214 (2010) - [j65]Mingming Sun, Chuancai Liu, Jian Yang, Zhong Jin, Jingyu Yang:
A two-step framework for highly nonlinear data unfolding. Neurocomputing 73(10-12): 1801-1807 (2010) - [j64]Jian Yang, Chengjun Liu, Jingyu Yang:
What kind of color spaces is suitable for color face recognition? Neurocomputing 73(10-12): 2140-2146 (2010) - [j63]