Positive semidefinite metric learning with boosting
The learning of appropriate distance metrics is a critical problem in image classification and retrieval. In this work, we propose a boosting-based technique, termed BOOSTMETRIC, for learning a Mahalanobis distance metric. One of the primary difficulties
|Collections||ANU Research Publications|
|Source:||Proceedings of The 23rd Annual Conference on Neural Information Processing Systems (NIPS 23)|
|01_Shen_Positive_semidefinite_metric_2009.pdf||173.06 kB||Adobe PDF||Request a copy|
|02_Shen_Positive_semidefinite_metric_2009.pdf||15.84 kB||Adobe PDF||Request a copy|
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