Selecting Shape Features Using Multi-class Relevance Vector Machine
暂无分享,去创建一个
[1] H. Barlow. Vision Science: Photons to Phenomenology by Stephen E. Palmer , 2000, Trends in Cognitive Sciences.
[2] Robert Tibshirani,et al. 1-norm Support Vector Machines , 2003, NIPS.
[3] George Eastman House,et al. Sparse Bayesian Learning and the Relevance Vector Machine , 2001 .
[4] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[5] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[6] David J. C. MacKay,et al. Bayesian Interpolation , 1992, Neural Computation.
[7] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[8] Jitendra Malik,et al. Learning a discriminative classifier using shape context distances , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[9] Lior Wolf,et al. Feature selection for unsupervised and supervised inference: the emergence of sparsity in a weighted-based approach , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.