Learning the kernel matrix with semidefinite programming GRG Lanckriet, N Cristianini, P Bartlett, LE Ghaoui, MI Jordan Journal of Machine learning research 5 (Jan), 27-72, 2004 | 3157 | 2004 |
Multiple kernel learning, conic duality, and the SMO algorithm FR Bach, GRG Lanckriet, MI Jordan Proceedings of the twenty-first international conference on Machine learning, 6, 2004 | 1989 | 2004 |
A new approach to cross-modal multimedia retrieval N Rasiwasia, J Costa Pereira, E Coviello, G Doyle, GRG Lanckriet, ... Proceedings of the 18th ACM international conference on Multimedia, 251-260, 2010 | 1556 | 2010 |
A direct formulation for sparse PCA using semidefinite programming A d'Aspremont, L Ghaoui, M Jordan, G Lanckriet Advances in neural information processing systems 17, 2004 | 1260 | 2004 |
A statistical framework for genomic data fusion GRG Lanckriet, T De Bie, N Cristianini, MI Jordan, WS Noble Bioinformatics 20 (16), 2626-2635, 2004 | 915 | 2004 |
Hilbert space embeddings and metrics on probability measures BK Sriperumbudur, A Gretton, K Fukumizu, B Schölkopf, GRG Lanckriet The Journal of Machine Learning Research 11, 1517-1561, 2010 | 892 | 2010 |
Financial time series prediction using least squares support vector machines within the evidence framework T Van Gestel, JAK Suykens, DE Baestaens, A Lambrechts, G Lanckriet, ... IEEE Transactions on neural networks 12 (4), 809-821, 2001 | 765 | 2001 |
Semantic annotation and retrieval of music and sound effects D Turnbull, L Barrington, D Torres, G Lanckriet IEEE Transactions on Audio, Speech, and Language Processing 16 (2), 467-476, 2008 | 667 | 2008 |
A robust minimax approach to classification GRG Lanckriet, LE Ghaoui, C Bhattacharyya, MI Jordan Journal of Machine Learning Research 3 (Dec), 555-582, 2002 | 644 | 2002 |
Universality, Characteristic Kernels and RKHS Embedding of Measures. BK Sriperumbudur, K Fukumizu, GRG Lanckriet Journal of Machine Learning Research 12 (7), 2011 | 572 | 2011 |
On the role of correlation and abstraction in cross-modal multimedia retrieval JC Pereira, E Coviello, G Doyle, N Rasiwasia, GRG Lanckriet, R Levy, ... IEEE transactions on pattern analysis and machine intelligence 36 (3), 521-535, 2013 | 501 | 2013 |
Metric learning to rank B McFee, G Lanckriet | 481 | 2010 |
Kernel-based data fusion and its application to protein function prediction in yeast GRG Lanckriet, M Deng, N Cristianini, MI Jordan, WS Noble Biocomputing 2004, 300-311, 2003 | 433 | 2003 |
Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and kernel Fisher discriminant analysis T Van Gestel, JAK Suykens, G Lanckriet, A Lambrechts, B De Moor, ... Neural computation 14 (5), 1115-1147, 2002 | 403 | 2002 |
On the empirical estimation of integral probability metrics BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet | 369 | 2012 |
A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers K Ellis, J Kerr, S Godbole, G Lanckriet, D Wing, S Marshall Physiological measurement 35 (11), 2191, 2014 | 362 | 2014 |
Recognizing detailed human context in the wild from smartphones and smartwatches Y Vaizman, K Ellis, G Lanckriet IEEE pervasive computing 16 (4), 62-74, 2017 | 338 | 2017 |
On the Convergence of the Concave-Convex Procedure. BK Sriperumbudur, GRG Lanckriet Nips 9, 1759-1767, 2009 | 321 | 2009 |
Generalized non-metric multidimensional scaling S Agarwal, J Wills, L Cayton, G Lanckriet, D Kriegman, S Belongie Artificial Intelligence and Statistics, 11-18, 2007 | 299 | 2007 |
A critical assessment of Mus musculusgene function prediction using integrated genomic evidence L Peña-Castillo, M Tasan, CL Myers, H Lee, T Joshi, C Zhang, Y Guan, ... Genome biology 9, 1-19, 2008 | 298 | 2008 |