Gert Lanckriet
Gert Lanckriet
Professor, UCSD
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Cited by
Cited by
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
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
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
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
A statistical framework for genomic data fusion
GRG Lanckriet, T De Bie, N Cristianini, MI Jordan, WS Noble
Bioinformatics 20 (16), 2626-2635, 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
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
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
A robust minimax approach to classification
GRG Lanckriet, LE Ghaoui, C Bhattacharyya, MI Jordan
Journal of Machine Learning Research 3 (Dec), 555-582, 2002
Universality, Characteristic Kernels and RKHS Embedding of Measures.
BK Sriperumbudur, K Fukumizu, GRG Lanckriet
Journal of Machine Learning Research 12 (7), 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
Metric learning to rank
B McFee, G Lanckriet
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
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
On the empirical estimation of integral probability metrics
BK Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf, GRG Lanckriet
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
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
On the Convergence of the Concave-Convex Procedure.
BK Sriperumbudur, GRG Lanckriet
Nips 9, 1759-1767, 2009
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
Generalized non-metric multidimensional scaling
S Agarwal, J Wills, L Cayton, G Lanckriet, D Kriegman, S Belongie
Artificial Intelligence and Statistics, 11-18, 2007
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