Tangent vector kernels for invariant image classification with SVMs
暂无分享,去创建一个
[1] Thore Graepel,et al. Invariant Pattern Recognition by Semi-Definite Programming Machines , 2003, NIPS.
[2] Takeo Kanade,et al. A statistical method for 3D object detection applied to faces and cars , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[3] Tony Jebara,et al. A Kernel Between Sets of Vectors , 2003, ICML.
[4] Lior Wolf,et al. Learning over Sets using Kernel Principal Angles , 2003, J. Mach. Learn. Res..
[5] Michael C. Burl,et al. Distortion-invariant recognition via jittered queries , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[6] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[7] Yann LeCun,et al. Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation , 1996, Neural Networks: Tricks of the Trade.
[8] Bernhard Schölkopf,et al. Incorporating Invariances in Support Vector Learning Machines , 1996, ICANN.
[9] Bernard Haasdonk,et al. Tangent distance kernels for support vector machines , 2002, Object recognition supported by user interaction for service robots.