# Inverse Renormalization Group Transformation in Bayesian Image Segmentations

arXiv: https://arxiv.org/abs/1501.00834 · HTML: https://mlsanity.com/paper/1501.00834/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Jan 2015.

## Built on by (most cited first, 1 of 1)

- [Wavelet Conditional Renormalization Group](https://mlsanity.com/paper/2207.04941/) (2022)

## Abstract (arXiv)

A new Bayesian image segmentation algorithm is proposed by combining a loopy belief propagation with an inverse real space renormalization group transformation to reduce the computational time. In results of our experiment, we observe that the proposed method can reduce the computational time to less than one-tenth of that taken by conventional Bayesian approaches.