On learning higher-order consistency potentials for multi-class pixel labeling
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
|Collections||ANU Research Publications|
|Source:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|01_Park_On_learning_higher-order_2012.pdf||1.14 MB||Adobe PDF||Request a copy|
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