Image classification using local linear regression

Neural Computing and Applications

Volumn 25, Issue 7-8, 2014, Pages 1913-1920

  Yang, Wankou ^a,b   Ricanek, Karl ^c   Shen, Fumin ^d  

^a SOUTHEAST UNIVERSITY   (China)

^b NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c UNIVERSITY OF NORTH CAROLINA WILMINGTON   (United States)

^d UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Image classification; Linear regression; Locality; Manifold learning

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; LINEAR REGRESSION; LUNAR SURFACE ANALYSIS; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH;

CLASSIFICATION PERFORMANCE; FACE IMAGE DATABASE; K-NEAREST NEIGHBORS; LOCAL LINEAR REGRESSION; LOCALITY; LOCALITY-PRESERVING; MANIFOLD LEARNING; RECONSTRUCTION ERROR;

IMAGE CLASSIFICATION;

EID: 84920255999     PISSN: 09410643     EISSN: 14333058     Source Type: Journal    
DOI: 10.1007/s00521-014-1681-2     Document Type: Article

References (35)

1. Kotsiantis SB (2007) Supervised machine learning: a review of classification techniques. Informatica 31:249–268
2. Cover TM, Hart PE (1967) Nearest neighbor pattern classification. IEEE Trans Inf Theory 13(1):21–27
3. Yu K, Ji L, Zhang X (2002) Kernel nearest-neighbor algorithm. Neural Process Lett 15:147–156
4. Li SZ, Lu J (1999) Face recognition using the nearest feature line method. IEEE Trans Neural Netw 10(2):439–443
5. Zheng W, Zhao L, Zou C (2004) Locally nearest neighbour classifiers for pattern recognition. Pattern Recognit 37(6):1307–1309
6. Lou Z, Jin Z (2006) Novel adaptive nearest neighbour classifiers based on hit-distance. In: Proceedings of the 18th international conference on pattern recognition (ICPR2006), vol. 3, pp. 87–90
7. Gao Q, Wang Z (2007) Center-based nearest neighbor classifier. Pattern Recognit 40(1):346–349
8. Shen F, Hasegawa O (2008) A fast nearest neighbor classifier based on self-organizing incremental neural network. Neural Netw 21(10):1537–1547
9. Mitani Y, Hamamoto Y (2006) A local mean-based nonparametric classifier. Pattern Recognit Lett 27(10):1151–1159
10. Zhang C, Zhang J (2008) RotBoost: a technique for combining Rotation Forest and AdaBoost. Pattern Recognit Lett 29(10):1524–1536
11. Zhou A, Zhu Z, Fan H (2012) A new semi-supervised PSVM classifier. Appl Math Comput 219(8):883–889
12. Ben X, Meng W, Yan R, Wang K (2013) Kernel coupled distance metric learning for gait recognition and face recognition. Neurocomputing 2013(120):577–589
13. Yang J, Wright J, Huang T, Ma Y (2008) Image super-resolution as sparse representation of raw patches. In Proceedings of IEEE conference on computer vision and pattern recognition (CVPR 2008)
14. Rao S, Tron R, Vidal R, Ma Y (2008) Motion segmentation via robust subspace separation in the presence of outlying, incomplete, and corrupted trajectories. In Proceedings of IEEE conference on computer vision and pattern recognition (CVPR 2008)
15. Mairal J, Sapiro G, Elad M (2008) Learning multiscale sparse representations for image and video restoration. SIAM MMS 7(1):214–241
16. Wright J, Yang A, Sastry S, Ma Y (2009) Robust face recognition via sparse representation. IEEE Trans Pattern Anal Mach Intell 31(2):210–227
17. Wright J, Ma Y, Mairial J, Sapiro G, Huang T, Yan S (2010) Sparse representation for computer vision and pattern recognition. In Proceedings of IEEE, special issue on applications of compressive sensing & sparse representation, 98(6): 1031–1044
18. Rigamonti R, Brown MA, Lepetit V (2011) Are sparse representations really relevant for image classification? In Proceedings of IEEE conference on computer vision and pattern recognition (CVPR2011)
19. Shi Q, Erisson A, van den Hengel A, Shen C (2011) Is face recognition really a compressive sensing problem? In Proceedings of IEEE conference on computer vision and pattern recognition (CVPR 2011)
20. Zhang L, Yang M, Feng X (2011) Sparse representation or collaborative representation: which helps face recognition. In Proceedings of IEEE conference on computer vision (ICCV2011)
21. Yang W, Wang Z, Yin J, Sun C, Ricanek K (2013) Image classification using Kernel collaborative representation with regularized least square. Appl Math Comput 222(13–28):2013
22. Xu Y, Zhang D, Yang J, Yang J-Y (2011) A two-phase test sample sparse representation method for use with face recognition. IEEE Trans Circuits Syst Video Technol 21(9):1255–1262
23. Qiao L, Chen S, Tan X (2010) Sparsity preserving projections with applications to face recognition. Pattern Recognit 43(1):331–341
24. Lai Z, Xu Y, Yang J, Zhang D (2013) Sparse tensor discriminant analysis. IEEE Trans Image Process 22(10):3904–3915
25. Lai Z, Wong WK, Jin Z, Yang J, Xu Y (2012) Sparse approximation to the eigensubspace for discrimination. IEEE Trans Neural Netw Learn Syst 23(12):1948–1960
26. Naseem I, Togneri R, Bennamoun M (2010) Linear regression for face recognition. IEEE Trans Pattern Anal Mach Intell 32(11):2106–2112
27. Chai X, Shan S, Chen X, Gao W (2007) Locally linear regression for pose invariant face recognition. IEEE Trans Image Process 16(7):1716–1725
28. Hastie T, Tibshirani R, Friedman J (2001) The elements of statistical learning; data mining, inference and prediction. Springer, New York
29. Nearest neighbor search, http://en.wikipedia.org/wiki/nearest_neighbor_search
30. Leibe B, Schiele B (2003) Analyzing appearance and contour based methods for object categorization. In Proceedings of IEEE conference on computer vision and pattern recognition (CVPR 2003)
31. Leibe B. The ETH-80 Image Set. Available from: http://www.mis.informatik.tu-darmstadt.de/research/projects/categorization/eth80-db.html
32. Yang J, Zhang L, Yang J, Zhang D (2011) From classifiers to discriminators: a nearest neighbor rule induced discriminant analysis. Pattern Recognit 44(7):1387–1402
33. Liao SX, Pawlark M (1996) On image analysis by moments. IEEE Trans Pattern Anal Mach Intell 18(3):254–266
34. Phillips PJ, Moon H, Rizvi SA, Rauss PJ (2000) The FERET evaluation methodology for face recognition algorithms. IEEE Trans Pattern Anal Mach Intell 22(10):1090–1104
35. Phillips PJ (2004) The facial recognition technology (FERET) database: http://www.itl.nist.gov/iad/humanid/feret/feret_master.html