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, Hazan, Tamir, Jaakkola, Tommi S
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: PLMR 2018
Online Access:http://hdl.handle.net/1721.1/115314
https://orcid.org/0000-0002-2199-0379