Active boundary annotation using random MAP perturbations

We address the problem of efficiently annotating labels of objects when they are structured. Often the distribution over labels can be described using a joint potential function over the labels for which sampling is provably hard but efficient maximum a-posteriori (MAP) solvers exist. In this settin...

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Bibliographic Details
Main Authors: Maji, Subhransu (Author), Hazan, Tamir (Author), Jaakkola, Tommi S (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: PLMR, 2018-05-11T14:21:59Z.
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