Analysis of stochastic automata algorithm for relaxation labelling
A parallel stochastic algorithm for relaxation labeling is analyzed. For the case of symmetric compatibility functions, it is proved that time algorithm will always converge to a consistent labeling.< >
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| Vydáno v: | IEEE transactions on pattern analysis and machine intelligence Ročník 16; číslo 5; s. 538 - 543 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Los Alamitos, CA
IEEE
01.05.1994
IEEE Computer Society |
| Témata: | |
| ISSN: | 0162-8828 |
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| Abstract | A parallel stochastic algorithm for relaxation labeling is analyzed. For the case of symmetric compatibility functions, it is proved that time algorithm will always converge to a consistent labeling.< > |
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| AbstractList | A parallel stochastic algorithm for relaxation labelling is analyzed. For the case of symmetric compatibility functions, it is proved that the algorithm will always converge to a consistent labeling. A parallel stochastic algorithm for relaxation labeling is analyzed. For the case of symmetric compatibility functions, it is proved that time algorithm will always converge to a consistent labeling.< > A parallel stochastic algorithm for relaxation labeling is analyzed. For the case of symmetric compatibility functions, it is proved that time algorithm will always converge to a consistent labeling |
| Author | Sastry, P.S. Thathachar, M.A.L. |
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| Cites_doi | 10.1016/0004-3702(81)90026-6 10.1109/TPAMI.1983.4767390 10.1109/TPAMI.1981.4767069 10.1007/BF02811324 10.1109/TPAMI.1986.4767779 |
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| Keywords | Learning Relaxation Computer vision Parallel algorithm Learning automata Constraint satisfaction Stochastic algorithm |
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| PublicationTitle | IEEE transactions on pattern analysis and machine intelligence |
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| References | jianhua (ref6) 1988 narendra (ref8) 1989 ref9 ref4 kushner (ref10) 1984 narendra (ref11) 1989 ref3 banerjee (ref5) 1989 basar (ref7) 1982 ref2 ref1 |
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| Snippet | A parallel stochastic algorithm for relaxation labeling is analyzed. For the case of symmetric compatibility functions, it is proved that time algorithm will... A parallel stochastic algorithm for relaxation labelling is analyzed. For the case of symmetric compatibility functions, it is proved that the algorithm will... |
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| SubjectTerms | Algorithm design and analysis Applied sciences Artificial intelligence Computer science; control theory; systems Computer vision Convergence Exact sciences and technology Image converters Iterative algorithms Labeling Learning automata Machine intelligence Pattern recognition. Digital image processing. Computational geometry Stochastic processes |
| Title | Analysis of stochastic automata algorithm for relaxation labelling |
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