# Application of the mean field methods to MRF optimization in computer vision

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/application-of-the-mean-field-methods-to-mrf-optimization-in-computer-vision/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Masaki Saito,Takayuki Okatani,Koichiro Deguchi |
| Citations | 10 |
| DOI | 10.1109/cvpr.2012.6247862 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2023640601 |
| Type | conference-paper |
| Year | 2012 |

## Paper authors

- [Masaki Saito](https://scholariq.org/researchers/masaki-saito/)

## Paper primary topic

- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)

## Paper topics

- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.