Exact MAP inference in general higher-order graphical models using linear programming

1. 1Introduce the notion of delta-distribution to simplify the algebraic proof
2. 2Develop a linear programming relaxation approach for exact MAP inference
3. 3Apply the approach to general higher-order graphical models
4. 4Analyze the results and compare with existing methods

Machine learning researchers and engineers working on graphical models and inference algorithms can benefit from this research, as it provides a new approach for exact MAP inference

💡 Linear programming can be used for exact MAP inference in higher-order graphical models

📈 Exact MAP inference in higher-order graphical models using linear programming! 💡