Tensor discriminant analysis for view-based object recognition

Proceedings - International Conference on Pattern Recognition

Volumn 3, Issue , 2006, Pages 33-36

  Wang, Yong ^a   Gong, Shaogang ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; DISCRIMINANT ANALYSIS; IMAGE CODING; TENSORS; VARIATIONAL TECHNIQUES;

CONVERGENCE PROPERTY; INTRA-CLASS VARIATIONS; TENSOR DISCRIMINANT ANALYSIS; TRAINING SAMPLES;

IMAGE RECOGNITION;

EID: 34147119092     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.1106     Document Type: Conference Paper

References (14)

1. D. Tao, X. Li, et al. Elapsed time in human gait recognition: A new approach. In ICASSP, 2006.
2. S. Gong, S. McKenna, and J. Collins. An investigation into face pose distributions. In AFGR, pages 265-270, 1996.
3. B. Leibe and B. Schiele. Analyzing appearance and contour based methods for object categorization. In CVPR, June 2003.
4. R. Marée, P. Geurts, J. Piater, and L. Wehenkel. Random subwindows for robust image classification. In CVPR 2005, volume 1, pages 34-40, June 2005.
5. H. Murase and S. K. Nayar. Visual learning and recognition of 3D objects from appearance. International Journal of Computer Vision, 14:5-24, 1995.
6. T. Poggio and S. Edelman. A network that learns to recognize 3D objects. Nature, 343:263-266, 1990.
7. M. Pontil and A. Verri. Support vector machines for 3D object recognition. PAMI, pages 637-646, 1998.
8. Qingshan Liu, Xiaoou Tang, et al. Kernel scatter-difference based discriminant analysis for face recognition. In ICPR, Aug 2004.
9. D. Roobaert and M. V. Hulle. View-based 3D object recognition with support vector machines. In IEEE International Workshop on Neural Networks for Signal Processing, 1999.
10. A. Shashua and A. Levin. Linear image coding for regression and classification using the tensor-rank principle. In CVPR (1), pages 42-49, 2001.
11. D. Tao, X. Li, W. Hu, S. Maybank, and X. Wu. Supervised tensor learning. In IEEE International Conference on Data Mining (ICDM), 2005.
12. S. Yan, D. Xu, Q. Yang, L. Zhang, X. Tang, and H.-J. Zhang. Discriminant analysis with tensor representation. In CVPR,2005, volume 1, pages 526-532, 2005.
13. M.-H. Yang, D. Roth, and N. Ahuja. Learning to recognize 3D objects with SNoW. In Proceedings of the Sixth European Conference on Computer Vision, pages 439-454, 2000.
14. J. Ye, R. Janardan, and Q. Li. Two-dimensional linear discriminant analysis. In Advances in Neural Information Processing Systems 17, pages 1569-1576, Cambridge, MA, 2004.