On the Behavior of Kernel Mutual Subspace Method

Author:

Sakano Hitoshi,Yamaguchi Osamu,Kawahara Tomokazu,Hotta Seiji

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Maeda, K.-i., Watanabe, S.: Pattern matching method with local structure. Trans. on IEICE (D) 68-D(3), 345–352 (1985) (Japanese Edition); Cipolla, R., et al. (ed.) recent English version is, Computer Vision: Detection, Recognition and Reconstruction (Studies in Computational Intelligence) Part 5. From the Subspace Methods to the Mutual Subspace Method.SCI. Springer Heidelberg (2010)

2. Yamaguchi, O., Fukui, K., Maeda, K.: Face recognition using temporal image sequence. In: Proc. of IEEE 4th Int’l. Conf. on Face and Gesture Recognition, pp. 318–323 (1998)

3. Sakano, H., Mukawa, N.: Kernel mutual subspace method for robust facial image recognition. In: Proc. of 4th Int’l. Conf. on Knowledge based Engineering System, Brighton, vol. 1, pp. 245–248 (2000)

4. Sakano, H., Mukawa, N., Nakamura, T.: Kernel mutual subspace method and its application for object recognition. Electronics and Communications in Japan E88(6), 45–53 (2005)

5. Lecture Notes in Computer Science;H. Sakano,2002

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