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Informatics Report Series
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| Title:Image modelling with position-encoding dynamic trees |
| Authors:
Amos Storkey
; Chris Williams
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| Date: 2003 |
| Publication Title:IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) |
| Publisher:IEEE Computer Society |
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Publication Type:Journal Article
Publication Status:Published
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Volume No:25(7)
Page Nos:859-872
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DOI:10.1109/TPAMI.2003.1206515
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- Abstract:
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Dynamic trees are mixtures of tree structured belief networks. They solve some of the problems of fixed tree networks at the cost of making exact inference intractable. For this reason approximate methods such as sampling or mean field approaches have been used. However, mean field approximations assume a factorised distribution over node states. Such a distribution seems unlikely in the posterior, as nodes are highly correlated in the prior. Here a structured variational approach is used, where the posterior distribution over the non-evidential nodes is itself approximated by a dynamic tree. It turns out that this form can be used tractably and efficiently. The result is a set of update rules which can propagate information through the network to obtain both a full variational approximation, and the relevant marginals.
- Links To Paper
- 1st Link
- Bibtex format
- @Article{EDI-INF-RR-0361,
- author = {
Amos Storkey
and Chris Williams
},
- title = {Image modelling with position-encoding dynamic trees},
- journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
- publisher = {IEEE Computer Society},
- year = 2003,
- volume = {25(7)},
- pages = {859-872},
- doi = {10.1109/TPAMI.2003.1206515},
- url = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2003.1206515},
- }
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