Multi-class Discriminant Kernel Learning via Convex Programming

by Jieping Ye , Shuiwang Ji , Jianhui Chen , Isabelle Guyon , Amir Saffari
Citations:22 - 0 self

Documents Related by Co-Citation

548 Learning the Kernel Matrix with Semi-Definite Programming – Gert R. G. Lanckriet, Nello Cristianini, Laurent El Ghaoui, Peter Bartlett, Michael I. Jordan - 2002
222 Large scale multiple kernel learning – Sören Sonnenburg, Gunnar Rätsch , Bernhard Schölkopf , Gunnar Rätsch - 2006
278 Multiple kernel learning, conic duality, and the SMO algorithm – Francis R. Bach, Gert R. G. Lanckriet - 2004
8950 The Nature of Statistical Learning Theory – Vladimir N. Vapnik - 1995
2029 Online Learning with Kernels – Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson - 2003
28 Optimal kernel selection in kernel Fisher discriminant analysis – Seung-jean Kim, Alessandro Magnani, Stephen Boyd - 2006
300 Choosing multiple parameters for support vector machines – Olivier Chapelle, École Polytechnique, Nello Cristianini - 2002
787 N.: Kernel Methods for Pattern Analysis – J Shawe-Taylor, Cristianini - 2004
18 Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection – T Damoulas, M A Girolami
6 Efficient and Accurate lp-norm MKL – M Kloft, U Brefeld, S Sonnenburg, A Zien, P Laskov, KR Müller - 2009
44 Multiclass multiple kernel learning – Alexander Zien, Cheng Soon Ong
79 Learning the Kernel with Hyperkernels – Cheng Soon Ong, Alexander J. Smola, Robert C. Williamson - 2003
162 Consistency of the group lasso and multiple kernel learning – Francis R. Bach - 2007
5 Non-sparse multiple kernel learning for fisher discriminant analysis – Fei Yan, Josef Kittler, Krystian Mikolajczyk, Atif Tahir - 2009
36 Kernel Fisher Discriminants – S Mika - 2002
216 Generalized Discriminant Analysis Using a Kernel Approach – G. Baudat, F. Anouar - 2000
944 Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories – Cordelia Schmid
18 Hierarchic bayesian models for kernel learning – Mark Girolami, Simon Rogers - 2005
133 Multi-class Protein Fold Recognition Using Support Vector Machines and Neural Networks – Chris H. Q. Ding, Inna Dubchak - 2001