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A Bayesian Non-Parametric Potts Model with Application to Pre-Surgical FMRI Data
The Potts model has enjoyed much success as a prior model for image segmentation. Given the individual classes in the model, the data are typically modeled as Gaussian random variates or as random variates from some other parametric distribution. In this manuscript we present a non-parametric Potts...
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| Huvudupphovsmän: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2012
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3843604/ https://ncbi.nlm.nih.gov/pubmed/22627277 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280212448970 |
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