Skip navigation
Skip navigation

On learning higher-order consistency potentials for multi-class pixel labeling

Request a Copy

link to publisher version

  • Altmetric Citations

Park, Kyoungup; Gould, Stephen

Description

Pairwise Markov random fields are an effective framework for solving many pixel labeling problems in computer vision. However, their performance is limited by their inability to capture higher-order correlations. Recently proposed higher-order models are

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
URI: http://hdl.handle.net/1885/69021
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI: 10.1007/978-3-642-33709-3_15

Download

File Description SizeFormat Image
01_Park_On_learning_higher-order_2012.pdf1.14 MBAdobe PDF    Request a copy
Show full item record


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  23 August 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator