201 related articles for article (PubMed ID: 21693417)
1. Local linear discriminant analysis framework using sample neighbors.
Fan Z; Xu Y; Zhang D
IEEE Trans Neural Netw; 2011 Jul; 22(7):1119-32. PubMed ID: 21693417
[TBL] [Abstract][Full Text] [Related]
2. Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image.
Tae-Kyun Kim ; Kittler J
IEEE Trans Pattern Anal Mach Intell; 2005 Mar; 27(3):318-327. PubMed ID: 15747788
[TBL] [Abstract][Full Text] [Related]
3. A two-stage linear discriminant analysis via QR-decomposition.
Ye J; Li Q
IEEE Trans Pattern Anal Mach Intell; 2005 Jun; 27(6):929-41. PubMed ID: 15943424
[TBL] [Abstract][Full Text] [Related]
4. Incremental linear discriminant analysis for face recognition.
Zhao H; Yuen PC
IEEE Trans Syst Man Cybern B Cybern; 2008 Feb; 38(1):210-21. PubMed ID: 18270092
[TBL] [Abstract][Full Text] [Related]
5. KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition.
Yang J; Frangi AF; Yang JY; Zhang D; Jin Z
IEEE Trans Pattern Anal Mach Intell; 2005 Feb; 27(2):230-44. PubMed ID: 15688560
[TBL] [Abstract][Full Text] [Related]
6. Discriminant locally linear embedding with high-order tensor data.
Li X; Lin S; Yan S; Xu D
IEEE Trans Syst Man Cybern B Cybern; 2008 Apr; 38(2):342-52. PubMed ID: 18348919
[TBL] [Abstract][Full Text] [Related]
7. Exponential local discriminant embedding and its application to face recognition.
Dornaika F; Bosaghzadeh A
IEEE Trans Cybern; 2013 Jun; 43(3):921-34. PubMed ID: 23144037
[TBL] [Abstract][Full Text] [Related]
8. Complexity-reduced implementations of complete and null-space-based linear discriminant analysis.
Lu GF; Zheng W
Neural Netw; 2013 Oct; 46():165-71. PubMed ID: 23764874
[TBL] [Abstract][Full Text] [Related]
9. Weighted piecewise LDA for solving the small sample size problem in face verification.
Kyperountas M; Tefas A; Pitas I
IEEE Trans Neural Netw; 2007 Mar; 18(2):506-19. PubMed ID: 17385635
[TBL] [Abstract][Full Text] [Related]
10. Linear discriminant analysis for signatures.
Huh S; Lee D
IEEE Trans Neural Netw; 2010 Dec; 21(12):1990-6. PubMed ID: 21075720
[TBL] [Abstract][Full Text] [Related]
11. An improved LDA approach.
Jing XY; Zhang D; Tang YY
IEEE Trans Syst Man Cybern B Cybern; 2004 Oct; 34(5):1942-51. PubMed ID: 15503491
[TBL] [Abstract][Full Text] [Related]
12. Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification.
Zafeiriou S; Tefas A; Buciu I; Pitas I
IEEE Trans Neural Netw; 2006 May; 17(3):683-95. PubMed ID: 16722172
[TBL] [Abstract][Full Text] [Related]
13. Generalized linear discriminant analysis: a unified framework and efficient model selection.
Ji S; Ye J
IEEE Trans Neural Netw; 2008 Oct; 19(10):1768-82. PubMed ID: 18842480
[TBL] [Abstract][Full Text] [Related]
14. Choosing parameters of kernel subspace LDA for recognition of face images under pose and illumination variations.
Huang J; Yuen PC; Chen WS; Lai JH
IEEE Trans Syst Man Cybern B Cybern; 2007 Aug; 37(4):847-62. PubMed ID: 17702284
[TBL] [Abstract][Full Text] [Related]
15. General tensor discriminant analysis and gabor features for gait recognition.
Tao D; Li X; Wu X; Maybank SJ
IEEE Trans Pattern Anal Mach Intell; 2007 Oct; 29(10):1700-15. PubMed ID: 17699917
[TBL] [Abstract][Full Text] [Related]
16. Globally maximizing, locally minimizing: unsupervised discriminant projection with applications to face and palm biometrics.
Yang J; Zhang D; Yang JY; Niu B
IEEE Trans Pattern Anal Mach Intell; 2007 Apr; 29(4):650-64. PubMed ID: 17299222
[TBL] [Abstract][Full Text] [Related]
17. Discriminant independent component analysis.
Dhir CS; Lee SY
IEEE Trans Neural Netw; 2011 Jun; 22(6):845-57. PubMed ID: 21521666
[TBL] [Abstract][Full Text] [Related]
18. Face recognition using an enhanced independent component analysis approach.
Kwak KC; Pedrycz W
IEEE Trans Neural Netw; 2007 Mar; 18(2):530-41. PubMed ID: 17385637
[TBL] [Abstract][Full Text] [Related]
19. Discriminative common vectors for face recognition.
Cevikalp H; Neamtu M; Wilkes M; Barkana A
IEEE Trans Pattern Anal Mach Intell; 2005 Jan; 27(1):4-13. PubMed ID: 15628264
[TBL] [Abstract][Full Text] [Related]
20. Capitalize on dimensionality increasing techniques for improving Face Recognition Grand Challenge performance.
Liu C
IEEE Trans Pattern Anal Mach Intell; 2006 May; 28(5):725-37. PubMed ID: 16640259
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
