论文信息 - MIMO SVMs for 3D object classification

MIMO SVMs for 3D object classification

This paper presents the detailed theory of the Clifford support vector machines (CSVM). Remarkably enough, the CSVM's can be used for multiclass classification. In the experiment part we show interesting applications such as automatic learning in robot vision.

Eduardo Bayro-Corrochano | Nancy Arana-Daniel | E. Bayro-Corrochano | N. Arana-Daniel

[1] E. Bayro-Corrochano,et al. Design of kernels for support multivector machines involving the Clifford geometric product and the conformal geometric neuron , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

[2] D. Hestenes,et al. Clifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics , 1984 .

[3] R. Y. Tsai,et al. An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision , 1986, CVPR 1986.

[4] Vladimir Vapnik,et al. Statistical learning theory , 1998 .

[5] D. Hestenes,et al. Clifford Algebra to Geometric Calculus , 1984 .