计算机科学 ›› 2014, Vol. 41 ›› Issue (8): 297-300.doi: 10.11896/j.issn.1002-137X.2014.08.063
杨国亮,谢乃俊,罗璐,梁礼明
YANG Guo-liang,XIE Nai-jun,LUO Lu and LIANG Li-ming
摘要： 低秩表示能够很好地揭示隐藏在数据中的全局结构信息并且对噪声具有很强的鲁棒性。基于图嵌入维数约简理论框架,提出了一种人脸识别算法,其利用低秩表示模型构建数据低秩图。此外,在低秩模型中引入数据空间约束项,构建一种具有空间约束的低秩图以提高识别效果。在ORL和PIE标准人脸数据库上进行实验,同传统的识别算法相比,结果显示所提出的算法在识别率和对噪声的鲁棒性上具有更好的表现。
| [1] Belkin M,Niyogi P．Laplacian eigenmaps for dimensionality reduction and data representation [J]．Neural Computation,2003,15(6):1373-1396 [2] Niyogi X．Locality preserving projections[C]∥Neural Information Processing Systems．2004,16:153 [3] He X,Cai D,Yan S,et al．Neighborhood preserving embedding[C]∥Tenth IEEE International Conference on Computer Vision,2005(ICCV 2005)．IEEE,2005,2:1208-1213 [4] Wright J,Yang A Y,Ganesh A,et al．Robust face recognition via sparse representation[J]．IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,31(2):210-227 [5] 杨荣根,任明武,杨静宇．基于稀疏表示的人脸识别算法[J].计算机科学,2010,7(9):267-278 [6] Candès E J,Li X,Ma Y,et al．Robust principal component ana-lysis?[J]．Journal of the ACM (JACM),2011,58(3):11 [7] Liu G,Lin Z,Yu Y．Robust subspace segmentation by low-rank representation[C]∥Proceedings of the 27th International Conference on Machine Learning (ICML-10)．2010:663-670 [8] Zhuang L,Gao H,Lin Z,et al．Non-negative low rank and sparse graph for semi-supervised learning[C]∥2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)．IEEE,2012:2328-2335 [9] Zhuang L,Gao H,et al．Semi-supervised classification via lowrank graph[C]∥2011 Sixth International Conference on Image and Graphics (ICIG)．IEEE,2011:511-516 [10] Yang S,Wang X,Wang M,et al．Semi-supervised low-rank representation graph for pattern recognition[J]．IET Image Processing,2013,7(2):131-136 [11] Zheng Y,Zhang X,Yang S,et al．Low-rank representation with local constraint for graph construction[J]．Neurocomputing,2013,122:398-405 [12] Zhang N,Yang J．Low-rank representation based discriminative projection for robust feature extraction[J]．Neurocomputing,2013,111:13-20 [13] Arpit D,Srivastava G,Fu Y．Locality-constrained Low RankCoding for face recognition[C]∥2012 21st International Conference on Pattern Recognition (ICPR)．IEEE,2012:1687-1690 [14] Xu H,Caramanis C,Sanghavi S．Robust PCA via outlier pursuit[J]．Systems Advances in Neural Information Processing Systems,2010,3:2496-2504 [15] Liu G,Lin Z,Yan S,et al．Robust recovery of subspace struc-tures by low-rank representation[J]．Pattern Analysis and Machine Intelligence,2012,5(1):172-184 [16] Lin Z,Liu R,Su Z．Linearized alternating direction method with adaptive penalty for low-rank representation[C]∥ Advances in Neural Information Processing Systems 24(NIPS 2011).2011 [17] Cai J F,Candès E J,Shen Z．A singular value thresholding algorithm for matrix completion[J]．SIAM Journal on Optimization,2010,20(4):1956-198 |
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