Learning task-specific similarity
DSpace@MIT (Massachusetts Institute of Technology)Published 1 January 2005
Gregory Shakhnarovich
Citations129
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TL;DR
An algorithmic approach to learning similarity from examples of what objects are deemed similar according to the task-specific notion of similarity at hand, as well as optional negative examples, which allows to predict when two previously unseen examples are similar and to efficiently search a very large database for examples similar to a query.
Abstract
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2006.
Keywords
Computer Science