Lanckriet, Gert R.G.

19 publications

JMLR 2014 Clustering Hidden Markov Models with Variational HEM Emanuele Coviello, Antoni B. Chan, Gert R.G. Lanckriet

CVPR 2012 Growing a Bag of Systems Tree for Fast and Accurate Classification Emanuele Coviello, Adeel Mumtaz, Antoni B. Chan, Gert R. G. Lanckriet

MLJ 2011 A Majorization-Minimization Approach to the Sparse Generalized Eigenvalue Problem Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet

CVPR 2011 From Region Similarity to Category Discovery Carolina Galleguillos, Brian McFee, Serge J. Belongie, Gert R. G. Lanckriet

JMLR 2011 Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R.G. Lanckriet

CVPR 2010 Clustering Dynamic Textures with the Hierarchical EM Algorithm Antoni B. Chan, Emanuele Coviello, Gert R. G. Lanckriet

JMLR 2010 Hilbert Space Embeddings and Metrics on Probability Measures Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf, Gert R.G. Lanckriet

ICML 2010 Metric Learning to Rank Brian McFee, Gert R. G. Lanckriet

CVPR 2010 Multi-Class Object Localization by Combining Local Contextual Interactions Carolina Galleguillos, Brian McFee, Serge J. Belongie, Gert R. G. Lanckriet

ICML 2009 Partial Order Embedding with Multiple Kernels Brian McFee, Gert R. G. Lanckriet

COLT 2008 Injective Hilbert Space Embeddings of Probability Measures Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf

ICML 2008 Metric Embedding for Kernel Classification Rules Bharath K. Sriperumbudur, Omer A. Lang, Gert R. G. Lanckriet

ICML 2007 Direct Convex Relaxations of Sparse SVM Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanckriet

ICML 2007 Sparse Eigen Methods by D.C. Programming Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet

JMLR 2004 Learning the Kernel Matrix with Semidefinite Programming Gert R.G. Lanckriet, Nello Cristianini, Peter Bartlett, Laurent El Ghaoui, Michael I. Jordan

ICML 2004 Multiple Kernel Learning, Conic Duality, and the SMO Algorithm Francis R. Bach, Gert R. G. Lanckriet, Michael I. Jordan

JMLR 2002 A Robust Minimax Approach to Classification Gert R.G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan

NeCo 2002 Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle

ICML 2002 Learning the Kernel Matrix with Semi-Definite Programming Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan