Non-associative higher-order markov networks for point cloud classification
In this paper, we introduce a non-associative higher-order graphical model to tackle the problem of semantic labeling of 3D point clouds. For this task, existing higher-order models overlook the relationships between the different classes and simply encourage the nodes in the cliques to have consistent labelings. We address this issue by devising a set of non-associative context patterns that describe higher-order geometric relationships between different class labels within the cliques. To...[Show more]
|Collections||ANU Research Publications|
|Source:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|01_Najafi_Non-associative_higher-order_2014.pdf||7.45 MB||Adobe PDF||Request a copy|
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