Name
Title | ||
|---|---|---|
A Continuous Max-Flow Approach to Multi-Labeling Problems under Arbitrary Region Regularization. |
Abstract | ||
|---|---|---|
The incorporation of region regularization into max-flow segmentation has traditionally focused on ordering and part-whole relationships. A side effect of the development of such models is that it constrained regularization only to those cases, rather than allowing for arbitrary region regularization. Directed Acyclic Graphical Max-Flow (DAGMF) segmentation overcomes these limitations by allowing for the algorithm designer to specify an arbitrary directed acyclic graph to structure a max-flow segmentation. This allows for individual 'parts' to be a member of multiple distinct 'wholes.' |
Year | Venue | Field |
|---|---|---|
2014 | arXiv: Computer Vision and Pattern Recognition | Mathematical optimization,Pattern recognition,Segmentation,Computer science,Algorithm,Directed acyclic graph,Regularization (mathematics),Artificial intelligence,Maximum flow problem |
DocType | Volume | Citations |
Journal | abs/1405.0892 | 5 |
PageRank | References | Authors |
0.49 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John S. H. Baxter | 1 | 74 | 14.67 |
| Martin Rajchl | 2 | 421 | 34.67 |
| Jing Yuan | 3 | 372 | 23.02 |
| Terry M. Peters | 4 | 1335 | 181.71 |