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» Multi-task Gaussian Process Prediction
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NIPS
2008
13 years 7 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
CVPR
2009
IEEE
15 years 1 months ago
Optimization of Landmark Selection for Cortical Surface Registration
Manually labeled landmark sets are often required as in- puts for landmark-based image registration. Identifying an optimal subset of landmarks from a training dataset may be us...
Anand A. Joshi, David W. Shattuck, Dimitrios Panta...
WWW
2011
ACM
13 years 1 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma