Mixing Linear SVMs for Nonlinear Classification

fu, 2006, invariant object material identification via discriminant learning on absorption features, Proc Comput Vis Pattern Recognit Workshop, 140

10.1016/S0168-1699(99)00046-0

10.1109/5.726791

fan, 2005, working set selection using the second order information for training support vector machines, J Mach Learn Res, 6, 1889

10.1109/TNN.2009.2038695

10.1023/A:1013999503812

10.1109/TNN.2009.2014229

lanckriet, 2004, learning the kernel matrix with semidefinite programming, J Mach Learn Res, 5, 27

fritsch, 1997, Advances in neural information processing systems

xu, 1995, Advances in neural information processing systems

press, 1992, Numerical Recipes in C

10.1007/BF01589116

10.1109/34.990138

10.1162/neco.1994.6.2.181

10.1109/ICPR.1998.711129

collobert, 2002, Advances in neural information processing systems

10.1109/ICPR.2006.804

10.1109/ICNN.1996.549080

10.1162/neco.1991.3.1.79

10.1006/jcss.1997.1504

dempster, 1977, maximum-likelihood from incomplete data via the em algorithm, J Royal Statist Soc B, 39, 1

10.1007/BF00058655

10.1016/j.patcog.2006.01.007

10.1109/72.991427

10.1023/A:1010933404324

chang, 2008, a dual coordinate descent method for large-scale linear svm, Proc 25th Int Conf Mach Learn, 1

10.1145/1150402.1150429

rissanen, 1989, Stochastic Complexity in Statistical Inquiry

schlkopf, 2001, Learning With Kernels Support Vector Machines Regularization Optimization and Beyond

waterhouse, 1996, Advances in neural information processing systems

10.1109/ICPR.1996.547656

10.1162/15324430260185619

fu, 2008, on mixtures of linear svms for nonlinear classification, Proc Int Workshop Syntactical Structural Pattern Recognit, 489, 10.1007/978-3-540-89689-0_53

williams, 2001, Advances in neural information processing systems

10.1145/1102351.1102356

rahimi, 2007, Advances in neural information processing systems

smola, 2000, Advances in neural information processing systems