Partial order embedding with multiple kernels
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[1] R. Varga. Geršgorin And His Circles , 2004 .
[2] Amos Storkey,et al. Advances in Neural Information Processing Systems 20 , 2007 .
[3] J. Kruskal. Nonmetric multidimensional scaling: A numerical method , 1964 .
[4] Daniel P. W. Ellis,et al. The Quest for Ground Truth in Musical Artist Similarity , 2002, ISMIR.
[5] Nello Cristianini,et al. Learning the Kernel Matrix with Semidefinite Programming , 2002, J. Mach. Learn. Res..
[6] Jos F. Sturm,et al. A Matlab toolbox for optimization over symmetric cones , 1999 .
[7] Arnold W. M. Smeulders,et al. The Amsterdam Library of Object Images , 2004, International Journal of Computer Vision.
[8] Amir Globerson,et al. Visualizing pairwise similarity via semidefinite programming , 2007, AISTATS.
[9] David J. Kriegman,et al. Generalized Non-metric Multidimensional Scaling , 2007, AISTATS.
[10] Carla E. Brodley,et al. Proceedings of the twenty-first international conference on Machine learning , 2004, International Conference on Machine Learning.
[11] Kilian Q. Weinberger,et al. Learning a kernel matrix for nonlinear dimensionality reduction , 2004, ICML.
[12] Ivor W. Tsang,et al. Distance metric learning with kernels , 2003 .
[13] Joachim M. Buhmann,et al. Going Metric: Denoising Pairwise Data , 2002, NIPS.
[14] Jaroslav Opatrny,et al. Total Ordering Problem , 1979, SIAM J. Comput..
[15] Claire Cardie,et al. Constrained K-means Clustering with Background Knowledge , 2001, ICML.
[16] Anne Lohrli. Chapman and Hall , 1985 .
[17] Bernhard Schölkopf,et al. A Generalized Representer Theorem , 2001, COLT/EuroCOLT.
[18] Thorsten Joachims,et al. Learning a Distance Metric from Relative Comparisons , 2003, NIPS.
[19] Yann LeCun,et al. Dimensionality Reduction by Learning an Invariant Mapping , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[20] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[21] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[22] Le Song,et al. Colored Maximum Variance Unfolding , 2007, NIPS.
[23] François E. Cellier,et al. Computer Aided Control Systems Design , 1983, ESC.
[24] Alfred V. Aho,et al. The Transitive Reduction of a Directed Graph , 1972, SIAM J. Comput..
[25] Raymond J. Mooney,et al. Integrating constraints and metric learning in semi-supervised clustering , 2004, ICML.