Manifold alignment via Local Tangent Space Alignment

Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008

Volumn 1, Issue , 2008, Pages 928-931

  Yang, Gelan ^a   Xu, Xue ^b   Zhang, Jianming ^a  

^a HUNAN CITY UNIVERSITY   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Data matching; LTSA; Manifold alignment

Indexed keywords

DATA MATCHING; DATA-SETS; IMAGE SEQUENCES; LATENT STRUCTURES; LOCAL TANGENT SPACE ALIGNMENTS; LTSA; MANIFOLD ALIGNMENT; MANIFOLD CONSTRAINTS; MATCHING POINTS;

COMPUTERS; SOFTWARE ENGINEERING;

ALIGNMENT;

EID: 61849175908     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSSE.2008.1332     Document Type: Conference Paper

References (9)

1. J. Ham, D. Lee, and L. Saul. Semisupervised Alignment of Manifolds. Proc. 10th Int'l Workshop Artificial Intelligence and Statistics, pp 120-127, 2005.
2. A. P. Shon, K. Grochow, A. Hertzmann, and R. Rao. Learning shared latent structure for image synthesis and robotic imitation. In Proc. NIPS, pp 1233-1240, 2006.
3. S. Lafon, Y. Keller, and R. R. Coifman. Data Fusion and Multicue Data Matching by Diffusion Maps. IEEE PAMI, 28(11): 1784-1797, 2006.
4. Z. Zhang, H. Zha. Principal manifolds and nonlinear dimensionality reduction via tangent space alignment. SIAM J. Sci. Comput. 26 (1): 313-338, 2004.
5. X. Bai, H. Yu, and E. R. Hancock. Graph Matching Using Spectral Embedding and Alignment. Proc. Int'l Conf. Pattern Recognition, pp 398-401, 2004.
6. M. Gori, M. Maggini, and L. Sarti. Exact and Approximate Graph Matching Using Random Walks. IEEE PAMI, 27(7): 1100-1111, 2005.
7. Y. Keselman, A. Shokoufandeh, M. F. Demirci, and S. J. Dickinson. Many-to-Many Graph Matching via Metric Embedding. Proc. Conf. Computer Vision and Pattern Recognition, pp 850-857, 2003.
8. J. Black, M. Gargesha, K. Kahol, P. Kuchi, S. Panchanathan. A framework for performance evaluation of face recognition algorithms. ITCOM, Internet Multimedia Systems II, Boston, July 2002.
9. G. Little, S. Krishna, J. Black, and S. Panchanathan. A methodology for evaluating robustness of face recognition algorithms with respect to changes in pose and illumination angle. ICASSP 2005, Philadelphia, 2005.