Graph-based transformation manifolds for invariant pattern recognition with kernel methods
暂无分享,去创建一个
[1] Mikhail Belkin,et al. Problems of learning on manifolds , 2003 .
[2] Yann LeCun,et al. Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation , 1996, Neural Networks: Tricks of the Trade.
[3] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[4] Mikhail Belkin,et al. Beyond the point cloud: from transductive to semi-supervised learning , 2005, ICML.
[5] Alexander Zien,et al. Semi-Supervised Classification by Low Density Separation , 2005, AISTATS.
[6] Thorsten Joachims,et al. Transductive Learning via Spectral Graph Partitioning , 2003, ICML.
[7] Alexander J. Smola,et al. Learning with kernels , 1998 .
[8] Bernhard Schölkopf,et al. Incorporating Invariances in Support Vector Learning Machines , 1996, ICANN.