Large scale optimization methods for metric and kernel learning
A large number of machine learning algorithms are critically dependent on the underlying distance/metric/similarity function. Learning an appropriate distance function is therefore crucial to the success of many methods. The class of distance functions that can be learned accurately is characterized...
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| Format: | Others |
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2014
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| Online Access: | http://hdl.handle.net/2152/27132 |