[1]LI Jing,CHEN Xiuhong.Competitive collaborative representation-based local discriminant projection for feature extraction[J].CAAI Transactions on Intelligent Systems,2019,14(5):974-981.[doi:10.11992/tis.201809020]

Competitive collaborative representation-based local discriminant projection for feature extraction

[1] XU Chang, TAO Dacheng, XU Chao, et al. Large-margin weakly supervised dimensionality reduction[C]//Proceedings of the 31st International Conference on Machine Learning. Beijing, China, 2014:Ⅱ-865–Ⅱ-873.
[2] LI Jun, XU Chang, GONG Mingming, et al. SERVE:soft and equalized residual vectors for image retrieval[J]. Neurocomputing, 2016, 207:202-212.
[3] XIE Liping, TAO Dacheng, WEI Haikun. Joint structured sparsity regularized multiview dimension reduction for video-based facial expression recognition[J]. ACM transactions on Intelligent systems and technology, 2017, 8(2):28.
[4] TURK M, PENTLAND A. Eigenfaces for recognition[J]. Journal of cognitive neuroscience, 1991, 3(1):71-86.
[5] BELHUMEUR P N, HESPANHA J P, KRIEGMAN D J. Eigenfaces vs. fisherfaces:recognition using class specific linear projection[J]. IEEE transactions on pattern analysis and machine intelligence, 1997, 19(7):711-720.
[6] HE Xiaofei, YAN Shuicheng, HU Yuxiao, et al. Face recognition using Laplacian faces[J]. IEEE transactions on pattern analysis and machine intelligence, 2005, 27(3):328-340.
[7] YAN Shuicheng, XU Dong, ZHANG Benyu, et al. Graph embedding and extensions:a general framework for dimensionality reduction[J]. IEEE transactions on pattern analysis and machine intelligence, 2007, 29(1):40-51.
[8] CHEN H T, CHANG Huangwei, LIU T L. Local discriminant embedding and its variants[C]//Proceedings of IEEE computer society conference on computer vision and pattern recognition. San Diego, USA, 2005:846?l853.
[9] YANG Jian, ZHANG D, YANG Jingyu. Globally maximizing, locally minimizing:unsupervised discriminant projection with applications to face and palm biometrics[J]. IEEE transactions on pattern analysis and machine intelligence, 2007, 29(4):650-664.
[10] HUANG Pu, CHEN Caikou, TANG Zhenmin, et al. Discriminant similarity and variance preserving projection for feature extraction[J]. Neurocomputing, 2014, 139:180-188.
[11] HUANG Pu, CHEN Caikou, ZHANG Zhenmin, et al. Feature extraction using local structure preserving discriminant analysis[J]. Neurocomputing, 2014, 140:104-113.
[12] YU Weiwei, TENG Xiaolong, LIU Chongqing. Face recognition using discriminant locality preserving projections[J]. Image and vision computing, 2006, 24(3):239-248.
[13] ZHANG Lei, YANG Meng, FENG Xiangchu. Sparse representation or collaborative representation:which helps face recognition[C]//Proceedings of International Conference on Computer Vision. Barcelona, Spain, 2012:471?478.
[14] YUAN Haoliang, LI Xuecong, XU Fangyuan, et al. A collaborative-competitive representation based classifier model[J]. Neurocomputing, 2018, 275(1):627-635.
[15] HUANG Pu, LI Tao, GAO Guangwei, et al. Collaborative representation based local discriminant projection for feature extraction[J]. Digital signal processing, 2018, 76:84-93.
[16] YANG Wankou, WANG Zhenyu, SUN Changyin. A collaborative representation based projections method for feature extraction[J]. Pattern recognition, 2015, 48(1):20-27.
[17] HUA Juliang, WANG Huan, REN Mingwu, et al. Dimension reduction using collaborative representation reconstruction based projections[J]. Neurocomputing, 2016, 193:1-6.
Similar References:



Last Update: 1900-01-01

Copyright © CAAI Transactions on Intelligent Systems